├── .RData ├── .Rbuildignore ├── .gitignore ├── CNAME ├── DESCRIPTION ├── LICENSE ├── NAMESPACE ├── R ├── BdiScores.R ├── Chernobyl.R ├── DepressionMortality.R ├── HealthWellbeing.R ├── NNT.R ├── NetDataGemtc.R ├── NetDataNetmeta.R ├── OpioidMisuse.R ├── SE_from_p.R ├── SleepProblems.R ├── SuicidePrevention.R ├── TherapyFormats.R ├── TherapyFormatsGeMTC.R ├── direct.evidence.plot.R ├── dmetar.R ├── eatingdisorderprevention.R ├── eggers.test.R ├── find.outliers.R ├── forest.find.outliers.R ├── forest.subgroup.analysis.mixed.effects.R ├── globals.R ├── gosh.diagnostics.R ├── influence.analysis.R ├── m.gosh.R ├── makeArgs.R ├── mlm.variance.distribution.R ├── mreg.multimodel.inference.R ├── mvregressiondata.R ├── pcurve2.R ├── plot.InfluenceAnalysis.R ├── plot.direct.evidence.plot.R ├── plot.eggers.test.R ├── plot.find.outliers.R ├── plot.gosh.diagnostics.R ├── plot.mlm.variance.distribution.R ├── plot.multimodel.inference.R ├── plot.power.analysis.R ├── plot.power.analysis.subgroup.R ├── plot.subgroup.analysis.mixed.effects.R ├── plot.sucra.R ├── pool.groups.R ├── power.analysis.R ├── power.analysis.subgroup.R ├── print.InfluenceAnalysis.R ├── print.NNT.R ├── print.direct.evidence.plot.R ├── print.eggers.test.R ├── print.find.outliers.R ├── print.gosh.diagnostics.R ├── print.mlm.variance.distribution.R ├── print.multimodel.inference.R ├── print.pcurve.R ├── print.power.analysis.R ├── print.power.analysis.subgroup.R ├── print.subgroup.analysis.mixed.effects.R ├── print.sucra.R ├── rob.summary.R ├── subgroup_analyses_mixed_effects_function.R ├── sucra.R ├── summary.InfluenceAnalysis.R ├── summary.direct.evidence.plot.R ├── summary.eggers.test.R ├── summary.find.outliers.R ├── summary.gosh.diagnostics.R ├── summary.mlm.variance.distribution.R ├── summary.multimodel.inference.R ├── summary.pcurve.R ├── summary.power.analysis.R ├── summary.power.analysis.subgroup.R ├── summary.subgroup.analysis.mixed.effects.R ├── thirdwave.R └── zzz.R ├── data ├── BdiScores.rda ├── Chernobyl.rda ├── DepressionMortality.rda ├── EatingDisorderPrevention.rda ├── HealthWellbeing.rda ├── MVRegressionData.rda ├── NetDataGemtc.rda ├── NetDataNetmeta.rda ├── OpioidMisuse.rda ├── SleepProblems.rda ├── SuicidePrevention.rda ├── TherapyFormats.rda ├── TherapyFormatsGeMTC.rda ├── ThirdWave.rda └── m.gosh.rda ├── docs ├── .DS_Store ├── 404.html ├── CNAME ├── LICENSE-text.html ├── apple-touch-icon-120x120.png ├── apple-touch-icon-152x152.png ├── apple-touch-icon-180x180.png ├── apple-touch-icon-60x60.png ├── apple-touch-icon-76x76.png ├── apple-touch-icon.png ├── articles │ ├── dmetar.html │ ├── dmetar_files │ │ ├── accessible-code-block-0.0.1 │ │ │ └── empty-anchor.js │ │ └── figure-html │ │ │ ├── pressure-1.png │ │ │ ├── unnamed-chunk-13-1.png │ │ │ ├── unnamed-chunk-18-1.png │ │ │ ├── unnamed-chunk-19-1.png │ │ │ ├── unnamed-chunk-20-1.png │ │ │ ├── unnamed-chunk-21-1.png │ │ │ ├── unnamed-chunk-22-1.png │ │ │ ├── unnamed-chunk-22-2.png │ │ │ ├── unnamed-chunk-22-3.png │ │ │ ├── unnamed-chunk-22-4.png │ │ │ ├── unnamed-chunk-22-5.png │ │ │ ├── unnamed-chunk-23-1.png │ │ │ ├── unnamed-chunk-23-2.png │ │ │ ├── unnamed-chunk-23-3.png │ │ │ ├── unnamed-chunk-23-4.png │ │ │ ├── unnamed-chunk-23-5.png │ │ │ ├── unnamed-chunk-23-6.png │ │ │ ├── unnamed-chunk-24-1.png │ │ │ ├── unnamed-chunk-24-2.png │ │ │ ├── unnamed-chunk-24-3.png │ │ │ ├── unnamed-chunk-24-4.png │ │ │ ├── unnamed-chunk-24-5.png │ │ │ ├── unnamed-chunk-25-1.png │ │ │ ├── unnamed-chunk-26-1.png │ │ │ ├── unnamed-chunk-7-1.png │ │ │ └── unnamed-chunk-8-1.png │ ├── dmetar_vignette.html │ ├── dmetar_vignette_files │ │ ├── accessible-code-block-0.0.1 │ │ │ └── empty-anchor.js │ │ └── figure-html │ │ │ ├── unnamed-chunk-1-1.png │ │ │ ├── unnamed-chunk-1-2.png │ │ │ ├── unnamed-chunk-18-1.png │ │ │ ├── unnamed-chunk-19-1.png │ │ │ ├── unnamed-chunk-20-1.png │ │ │ ├── unnamed-chunk-21-1.png │ │ │ ├── unnamed-chunk-21-2.png │ │ │ ├── unnamed-chunk-21-3.png │ │ │ ├── unnamed-chunk-21-4.png │ │ │ ├── unnamed-chunk-21-5.png │ │ │ ├── unnamed-chunk-22-1.png │ │ │ ├── unnamed-chunk-22-2.png │ │ │ ├── unnamed-chunk-22-3.png │ │ │ ├── unnamed-chunk-22-4.png │ │ │ ├── unnamed-chunk-22-5.png │ │ │ ├── unnamed-chunk-22-6.png │ │ │ ├── unnamed-chunk-23-1.png │ │ │ ├── unnamed-chunk-23-2.png │ │ │ ├── unnamed-chunk-23-3.png │ │ │ ├── unnamed-chunk-23-4.png │ │ │ ├── unnamed-chunk-23-5.png │ │ │ ├── unnamed-chunk-24-1.png │ │ │ ├── unnamed-chunk-25-1.png │ │ │ ├── unnamed-chunk-7-1.png │ │ │ └── unnamed-chunk-8-1.png │ ├── fig │ │ ├── banner.jpg │ │ ├── directevidence.png │ │ ├── forest_subgroup.png │ │ ├── rob_chart.png │ │ ├── rob_table.png │ │ └── sucra.png │ ├── index.html │ └── tum.png ├── authors.html ├── bootstrap-toc.css ├── bootstrap-toc.js ├── costum.css ├── deps │ ├── Fira_Code-0.4.6 │ │ ├── font.css │ │ └── uU9eCBsR6Z2vfE9aq3bL0fxyUs4tcw4W_D1sFVQ.woff │ ├── Fira_Code-0.4.7 │ │ ├── font.css │ │ └── uU9eCBsR6Z2vfE9aq3bL0fxyUs4tcw4W_D1sFVQ.woff │ ├── Fira_Sans-0.4.6 │ │ ├── font.css │ │ └── va9E4kDNxMZdWfMOD5Vfkw.woff │ ├── Fira_Sans-0.4.7 │ │ ├── font.css │ │ └── va9E4kDNxMZdWfMOD5Vfkw.woff │ ├── _Fira Code-0.4.1 │ │ ├── font.css │ │ └── uU9eCBsR6Z2vfE9aq3bL0fxyUs4tcw4W_D1sFVQ.woff │ ├── _Fira Sans-0.4.1 │ │ ├── font.css │ │ └── va9E4kDNxMZdWfMOD5Vfkw.woff │ ├── _JetBrains Mono-0.4.1 │ │ ├── font.css │ │ └── tDbY2o-flEEny0FZhsfKu5WU4zr3E_BX0PnT8RD8yKxjPg.woff │ ├── _Roboto Slab-0.4.1 │ │ ├── BngbUXZYTXPIvIBgJJSb6s3BzlRRfKOFbvjojISWaw.woff │ │ └── font.css │ ├── _Roboto-0.4.1 │ │ ├── KFOmCnqEu92Fr1Me5g.woff │ │ └── font.css │ ├── bootstrap-5.1.0 │ │ ├── bootstrap.bundle.min.js │ │ ├── bootstrap.bundle.min.js.map │ │ ├── bootstrap.min.css │ │ ├── font.css │ │ └── fonts │ │ │ ├── 1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff │ │ │ ├── 1Ptxg8zYS_SKggPN4iEgvnHyvveLxVvaorCIPrc.woff │ │ │ ├── 4iCs6KVjbNBYlgo6ew.woff │ │ │ ├── 4iCs6KVjbNBYlgoKfw7w.woff │ │ │ ├── 4iCv6KVjbNBYlgoCxCvTtA.woff │ │ │ ├── 4iCv6KVjbNBYlgoCxCvjsGyL.woff │ │ │ ├── 6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff │ │ │ ├── 6xK1dSBYKcSV-LCoeQqfX1RYOo3qPa7j.woff │ │ │ ├── 6xK3dSBYKcSV-LCoeQqfX1RYOo3aPA.woff │ │ │ ├── 6xK3dSBYKcSV-LCoeQqfX1RYOo3qOK7j.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3i54rAkw.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vAkw.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vwlxdo.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zAkw.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zwlxdo.woff │ │ │ ├── CSR54z1Qlv-GDxkbKVQ_dFsvWNRevw.woff │ │ │ ├── CSR54z1Qlv-GDxkbKVQ_dFsvaNA.woff │ │ │ ├── CSR64z1Qlv-GDxkbKVQ_TOQ.woff │ │ │ ├── CSR64z1Qlv-GDxkbKVQ_fOAKSw.woff │ │ │ ├── JTURjIg1_i6t8kCHKm45_ZpC7g0.woff │ │ │ ├── JTURjIg1_i6t8kCHKm45_dJE7g0.woff │ │ │ ├── JTUSjIg1_i6t8kCHKm45xW0.woff │ │ │ ├── KFOlCnqEu92Fr1MmEU9fBBc-.woff │ │ │ ├── KFOlCnqEu92Fr1MmEU9vAA.woff │ │ │ ├── KFOlCnqEu92Fr1MmSU5fBBc-.woff │ │ │ ├── KFOlCnqEu92Fr1MmSU5vAA.woff │ │ │ ├── KFOlCnqEu92Fr1MmWUlfBBc-.woff │ │ │ ├── KFOlCnqEu92Fr1MmWUlvAA.woff │ │ │ ├── KFOmCnqEu92Fr1Me5g.woff │ │ │ ├── KFOmCnqEu92Fr1Mu4mxM.woff │ │ │ ├── QGYpz_kZZAGCONcK2A4bGOj8mNhL.woff │ │ │ ├── S6u8w4BMUTPHjxsAXC-s.woff │ │ │ ├── S6u8w4BMUTPHjxswWA.woff │ │ │ ├── S6u9w4BMUTPHh6UVSwiPHw.woff │ │ │ ├── S6u9w4BMUTPHh6UVeww.woff │ │ │ ├── S6u9w4BMUTPHh7USSwiPHw.woff │ │ │ ├── S6u9w4BMUTPHh7USeww.woff │ │ │ ├── S6uyw4BMUTPHjx4wWA.woff │ │ │ ├── S6uyw4BMUTPHvxo.woff │ │ │ ├── UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuFuYMZs.woff │ │ │ ├── UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuI6fMZs.woff │ │ │ ├── UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuLyfMZs.woff │ │ │ ├── XRXV3I6Li01BKof4MQ.woff │ │ │ ├── XRXW3I6Li01BKofA6sKkZQ.woff │ │ │ ├── XRXW3I6Li01BKofAjsOkZQ.woff │ │ │ ├── memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkWVAexg.woff │ │ │ ├── memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk5hkaVQ.woff │ │ │ ├── memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkWVAexg.woff │ │ │ ├── memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0Rk8ZkaVQ.woff │ │ │ ├── memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjWVAexg.woff │ │ │ ├── memQYaGs126MiZpBA-UFUIcVXSCEkx2cmqvXlWq8tWZ0Pw86hd0RkyFjaVQ.woff │ │ │ ├── memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1x4gaVQ.woff │ │ │ ├── memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1y4k.woff │ │ │ ├── memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0B4gaVQ.woff │ │ │ ├── memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsiH0C4k.woff │ │ │ ├── memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0B4gaVQ.woff │ │ │ ├── memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0C4k.woff │ │ │ ├── pe03MImSLYBIv1o4X1M8cc9iB_5p.woff │ │ │ ├── pe0qMImSLYBIv1o4X1M8cfe5.woff │ │ │ └── q5uGsou0JOdh94bfvQlr.woff │ ├── bootstrap-5.2.2 │ │ ├── bootstrap.bundle.min.js │ │ ├── bootstrap.bundle.min.js.map │ │ ├── bootstrap.min.css │ │ ├── font.css │ │ └── fonts │ │ │ ├── 1Ptxg8zYS_SKggPN4iEgvnHyvveLxVs9pbCIPrc.woff │ │ │ ├── 1Ptxg8zYS_SKggPN4iEgvnHyvveLxVvaorCIPrc.woff │ │ │ ├── 1adeadb2fe618c5ed46221f15e12b9c8.woff │ │ │ ├── 4iCs6KVjbNBYlgo6ew.woff │ │ │ ├── 4iCs6KVjbNBYlgoKfw7w.woff │ │ │ ├── 4iCv6KVjbNBYlgoCxCvTtA.woff │ │ │ ├── 4iCv6KVjbNBYlgoCxCvjsGyL.woff │ │ │ ├── 6xK1dSBYKcSV-LCoeQqfX1RYOo3qPZ7nsDQ.woff │ │ │ ├── 6xK1dSBYKcSV-LCoeQqfX1RYOo3qPa7j.woff │ │ │ ├── 6xK3dSBYKcSV-LCoeQqfX1RYOo3aPA.woff │ │ │ ├── 6xK3dSBYKcSV-LCoeQqfX1RYOo3qOK7j.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3i54rAkw.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vAkw.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ig4vwlxdo.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zAkw.woff │ │ │ ├── 6xKydSBYKcSV-LCoeQqfX1RYOo3ik4zwlxdo.woff │ │ │ ├── CSR54z1Qlv-GDxkbKVQ_dFsvWNRevw.woff │ │ │ ├── CSR54z1Qlv-GDxkbKVQ_dFsvaNA.woff │ │ │ ├── CSR64z1Qlv-GDxkbKVQ_TOQ.woff │ │ │ ├── CSR64z1Qlv-GDxkbKVQ_fOAKSw.woff │ │ │ ├── JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtZ6Ew9.woff │ │ │ ├── JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCtr6Ew9.woff │ │ │ ├── JTUHjIg1_i6t8kCHKm4532VJOt5-QNFgpCuM70w9.woff │ │ │ ├── KFOlCnqEu92Fr1MmEU9fBBc-.woff │ │ │ ├── KFOlCnqEu92Fr1MmEU9vAA.woff │ │ │ ├── KFOlCnqEu92Fr1MmSU5fBBc-.woff │ │ │ ├── KFOlCnqEu92Fr1MmSU5vAA.woff │ │ │ ├── KFOlCnqEu92Fr1MmWUlfBBc-.woff │ │ │ ├── KFOlCnqEu92Fr1MmWUlvAA.woff │ │ │ ├── KFOmCnqEu92Fr1Me5g.woff │ │ │ ├── KFOmCnqEu92Fr1Mu4mxM.woff │ │ │ ├── QGYpz_kZZAGCONcK2A4bGOj8mNhL.woff │ │ │ ├── S6u8w4BMUTPHjxsAXC-s.woff │ │ │ ├── S6u8w4BMUTPHjxswWA.woff │ │ │ ├── S6u9w4BMUTPHh6UVSwiPHw.woff │ │ │ ├── S6u9w4BMUTPHh6UVeww.woff │ │ │ ├── S6u9w4BMUTPHh7USSwiPHw.woff │ │ │ ├── S6u9w4BMUTPHh7USeww.woff │ │ │ ├── S6uyw4BMUTPHjx4wWA.woff │ │ │ ├── S6uyw4BMUTPHvxo.woff │ │ │ ├── UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuFuYMZs.woff │ │ │ ├── UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuI6fMZs.woff │ │ │ ├── UcCO3FwrK3iLTeHuS_fvQtMwCp50KnMw2boKoduKmMEVuLyfMZs.woff │ │ │ ├── XRXI3I6Li01BKofiOc5wtlZ2di8HDFwmRTA.woff │ │ │ ├── XRXI3I6Li01BKofiOc5wtlZ2di8HDGUmRTA.woff │ │ │ ├── XRXI3I6Li01BKofiOc5wtlZ2di8HDLshRTA.woff │ │ │ ├── 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jquery-3.6.0 │ │ ├── jquery-3.6.0.js │ │ ├── jquery-3.6.0.min.js │ │ └── jquery-3.6.0.min.map ├── dmetar_manual.pdf ├── docsearch.css ├── docsearch.js ├── docsearch.json ├── extra.css ├── favicon-16x16.png ├── favicon-32x32.png ├── favicon.ico ├── front.png ├── github_download.png ├── index.html ├── index.knit.html ├── index.utf8.html ├── link.svg ├── logo.js ├── logo.png ├── pkgdown.css ├── pkgdown.js ├── pkgdown.yml ├── readme.html ├── reference │ ├── BdiScores.html │ ├── Chernobyl.html │ ├── DepressionMortality.html │ ├── EatingDisorderPrevention.html │ ├── HealthWellbeing.html │ ├── InfluenceAnalysis-1.png │ ├── InfluenceAnalysis-2.png │ ├── InfluenceAnalysis-3.png │ ├── InfluenceAnalysis-4.png │ ├── InfluenceAnalysis-5.png │ ├── InfluenceAnalysis-6.png │ ├── InfluenceAnalysis-7.png │ ├── InfluenceAnalysis-8.png │ ├── InfluenceAnalysis.html │ ├── MVRegressionData.html │ ├── NNT.html │ ├── NetDataGemtc.html │ ├── NetDataNetmeta.html │ ├── OpioidMisuse.html │ ├── Rplot001.png │ ├── Rplot002.png │ ├── Rplot003.png │ ├── Rplot004.png │ ├── Rplot005.png │ ├── Rplot006.png │ ├── SE_from_p.html │ ├── SleepProblems.html │ ├── SuicidePrevention.html │ ├── TherapyFormats.html │ ├── TherapyFormatsGeMTC.html │ ├── ThirdWave.html │ ├── direct.evidence.plot-1.png │ ├── direct.evidence.plot.html │ ├── direct_evidence_plot.html │ ├── dmetar.html │ ├── eggers.test-1.png │ ├── eggers.test.html │ ├── eggers_test.html │ ├── figures │ │ ├── apple-touch-icon-120x120.png │ │ ├── apple-touch-icon-152x152.png │ │ ├── apple-touch-icon-180x180.png │ │ ├── apple-touch-icon-60x60.png │ │ ├── apple-touch-icon-76x76.png │ │ ├── apple-touch-icon.png │ │ ├── favicon-16x16.png │ │ ├── favicon-32x32.png │ │ ├── favicon.ico │ │ ├── front.png │ │ └── logo.png │ ├── find.outliers-1.png │ ├── find.outliers-2.png │ ├── find.outliers.html │ ├── forest.find.outliers.html │ ├── forest.subgroup.analysis.mixed.effects.html │ ├── gosh.diagnostics-1.png │ ├── gosh.diagnostics-2.png │ ├── gosh.diagnostics-3.png │ ├── gosh.diagnostics-4.png │ ├── gosh.diagnostics-5.png │ ├── gosh.diagnostics-6.png │ ├── gosh.diagnostics.html │ ├── index.html │ ├── influence.analysis-1.png │ ├── influence.analysis-2.png │ ├── influence.analysis-3.png │ ├── influence.analysis-4.png │ ├── influence.analysis.html │ ├── m.gosh.html │ ├── mlm.variance.distribution-1.png │ ├── mlm.variance.distribution.html │ ├── multimodel.inference-1.png │ ├── multimodel.inference-2.png │ ├── multimodel.inference-3.png │ ├── multimodel.inference.html │ ├── pcurve-1.png │ ├── pcurve-2.png │ ├── pcurve-3.png │ ├── pcurve-4.png │ ├── pcurve-5.png │ ├── pcurve.html │ ├── plot.InfluenceAnalysis.html │ ├── plot.direct.evidence.plot.html │ ├── plot.eggers.test.html │ ├── plot.find.outliers.html │ ├── plot.gosh.diagnostics.html │ ├── plot.mlm.variance.distribution.html │ ├── plot.multimodel.inference.html │ ├── plot.power.analysis.html │ ├── plot.power.analysis.subgroup.html │ ├── plot.subgroup.analysis.mixed.effects.html │ ├── plot.sucra.html │ ├── pool.groups.html │ ├── pool_groups.html │ ├── power.analysis-1.png │ ├── power.analysis-2.png │ ├── power.analysis-3.png │ ├── power.analysis.html │ ├── power.analysis.subgroup-1.png │ ├── power.analysis.subgroup-2.png │ ├── power.analysis.subgroup-3.png │ ├── power.analysis.subgroup.html │ ├── print.InfluenceAnalysis.html │ ├── print.NNT.html │ ├── print.direct.evidence.plot.html │ ├── print.dmetar.html │ ├── print.eggers.test.html │ ├── print.find.outliers.html │ ├── print.gosh.diagnostics.html │ ├── print.mlm.variance.distribution.html │ ├── print.multimodel.inference.html │ ├── print.pcurve.html │ ├── print.power.analysis.html │ ├── print.power.analysis.subgroup.html │ ├── print.subgroup.analysis.mixed.effects.html │ ├── print.sucra.html │ ├── rob.summary-1.png │ ├── rob.summary-2.png │ ├── rob.summary-3.png │ ├── rob.summary.html │ ├── se.from.p.html │ ├── subgroup.analysis.mixed.effects-1.png │ ├── subgroup.analysis.mixed.effects-2.png │ ├── subgroup.analysis.mixed.effects-3.png │ ├── subgroup.analysis.mixed.effects.html │ ├── sucra-1.png │ ├── sucra-2.png │ ├── sucra.html │ ├── summary.InfluenceAnalysis.html │ ├── summary.direct.evidence.plot.html │ ├── summary.eggers.test.html │ ├── summary.find.outliers.html │ ├── summary.gosh.diagnostics.html │ ├── summary.mlm.variance.distribution.html │ ├── summary.multimodel.inference.html │ ├── summary.pcurve.html │ ├── summary.power.analysis.html │ ├── summary.power.analysis.subgroup.html │ ├── summary.subgroup.analysis.mixed.effects.html │ └── tum.png ├── search.json ├── sitemap.xml └── tum.png ├── inst ├── CITATION └── _pkgdown.yml ├── man ├── BdiScores.Rd ├── Chernobyl.Rd ├── DepressionMortality.Rd ├── EatingDisorderPrevention.Rd ├── HealthWellbeing.Rd ├── InfluenceAnalysis.Rd ├── MVRegressionData.Rd ├── NNT.Rd ├── NetDataGemtc.Rd ├── NetDataNetmeta.Rd ├── OpioidMisuse.Rd ├── SleepProblems.Rd ├── SuicidePrevention.Rd ├── TherapyFormats.Rd ├── TherapyFormatsGeMTC.Rd ├── ThirdWave.Rd ├── direct.evidence.plot.Rd ├── dmetar.Rd ├── eggers.test.Rd ├── figures │ ├── .DS_Store │ ├── apple-touch-icon-120x120.png │ ├── apple-touch-icon-152x152.png │ ├── apple-touch-icon-180x180.png │ ├── apple-touch-icon-60x60.png │ ├── apple-touch-icon-76x76.png │ ├── apple-touch-icon.png │ ├── favicon-16x16.png │ ├── favicon-32x32.png │ ├── favicon.ico │ ├── front.png │ └── logo.png ├── find.outliers.Rd ├── forest.find.outliers.Rd ├── forest.subgroup.analysis.mixed.effects.Rd ├── gosh.diagnostics.Rd ├── m.gosh.Rd ├── mlm.variance.distribution.Rd ├── multimodel.inference.Rd ├── pcurve.Rd ├── plot.InfluenceAnalysis.Rd ├── plot.direct.evidence.plot.Rd ├── plot.eggers.test.Rd ├── plot.find.outliers.Rd ├── plot.gosh.diagnostics.Rd ├── plot.mlm.variance.distribution.Rd ├── plot.multimodel.inference.Rd ├── plot.power.analysis.Rd ├── plot.power.analysis.subgroup.Rd ├── plot.subgroup.analysis.mixed.effects.Rd ├── plot.sucra.Rd ├── pool.groups.Rd ├── power.analysis.Rd ├── power.analysis.subgroup.Rd ├── print.InfluenceAnalysis.Rd ├── print.NNT.Rd ├── print.direct.evidence.plot.Rd ├── print.eggers.test.Rd ├── print.find.outliers.Rd ├── print.gosh.diagnostics.Rd ├── print.mlm.variance.distribution.Rd ├── print.multimodel.inference.Rd ├── print.pcurve.Rd ├── print.power.analysis.Rd ├── print.power.analysis.subgroup.Rd ├── print.subgroup.analysis.mixed.effects.Rd ├── print.sucra.Rd ├── rob.summary.Rd ├── se.from.p.Rd ├── subgroup.analysis.mixed.effects.Rd ├── sucra.Rd ├── summary.InfluenceAnalysis.Rd ├── summary.direct.evidence.plot.Rd ├── summary.eggers.test.Rd ├── summary.find.outliers.Rd ├── summary.gosh.diagnostics.Rd ├── summary.mlm.variance.distribution.Rd ├── summary.multimodel.inference.Rd ├── summary.pcurve.Rd ├── summary.power.analysis.Rd ├── summary.power.analysis.subgroup.Rd └── summary.subgroup.analysis.mixed.effects.Rd ├── pkgdown ├── extra.css ├── favicon │ ├── apple-touch-icon-120x120.png │ ├── apple-touch-icon-152x152.png │ ├── apple-touch-icon-180x180.png │ ├── apple-touch-icon-60x60.png │ ├── apple-touch-icon-76x76.png │ ├── apple-touch-icon.png │ ├── favicon-16x16.png │ ├── favicon-32x32.png │ └── favicon.ico └── index.md ├── readme.md ├── tests ├── testthat.R └── testthat │ └── test_NNT.R └── vignettes ├── .DS_Store ├── .gitignore ├── dmetar.Rmd ├── dmetar_vignette.Rmd └── fig ├── banner.jpg ├── directevidence.png ├── forest_subgroup.png ├── gosh1.png ├── gosh2.png ├── gosh3.png ├── gosh4.png ├── gosh5.png ├── rob_chart.png ├── rob_table.png └── sucra.png /.RData: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathiasHarrer/dmetar/89dbcac19e6e261225703f8a526b10ec6c49e21d/.RData -------------------------------------------------------------------------------- /.Rbuildignore: -------------------------------------------------------------------------------- 1 | ^Meta$ 2 | ^doc$ 3 | ^dmetar\.Rproj$ 4 | ^\.Rproj\.user$ 5 | ^CNAME 6 | ^docs$ 7 | ^index.Rmd 8 | ^index.md 9 | ^readme.md 10 | ^pkgdown$ 11 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | Meta 2 | doc 3 | inst/doc 4 | .Rproj.user 5 | dmetar.Rproj 6 | .Rhistory 7 | .DS_Store 8 | -------------------------------------------------------------------------------- /CNAME: -------------------------------------------------------------------------------- 1 | dmetar.protectlab.org -------------------------------------------------------------------------------- /DESCRIPTION: -------------------------------------------------------------------------------- 1 | Package: dmetar 2 | Title: Companion R Package for the Guide 'Doing Meta-Analysis in R' 3 | Author: Mathias Harrer, Pim Cuijpers, Toshi Furukawa, David Daniel Ebert 4 | Version: 0.1.0 5 | Authors@R: c( 6 | person("Mathias", "Harrer", email = "mathias.h.harrer@gmail.com", role = "cre", comment = c(ORCID = "0000-0001-7016-2687")), 7 | person("Pim", "Cuijpers", email = "p.cuijpers@vu.nl", role = "aut", comment = c(ORCID = "0000-0001-5497-2743")), 8 | person("Toshi", "Furukawa", email = "furukawa@kuhp.kyoto-u.ac.jp", role = "aut", comment = c(ORCID = "0000-0003-2159-3776")), 9 | person("David Daniel", "Ebert", email = "david.daniel.ebert@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-6820-0146"))) 10 | Description: Serves as the companion R package for the open-source guide 'Doing Meta Analysis in R'. Aimed at beginners, the package contains complementary functions to facilitate performing meta-analysis using the 'meta', 'metafor', 'netmeta' and 'gemtc' packages. 11 | URL: https://dmetar.protectlab.org 12 | Depends: R (>= 3.6) 13 | License: MIT + file LICENSE 14 | Encoding: UTF-8 15 | LazyData: true 16 | RoxygenNote: 7.2.3 17 | Imports: 18 | ggplot2 (>= 3.2.0), stringr (>= 1.4.0), gridExtra (>= 2.3), 19 | netmeta (>= 1.0.1), meta (>= 4.9.4), metafor (>= 2.1.0), 20 | ggrepel (>= 0.8.0), grid (>= 3.5.2), poibin (>= 1.3), MuMIn (>= 1.43.6), 21 | scales (>= 1.0.0), graphics (>= 3.5.2), stats (>= 3.5.2), 22 | fpc (>= 2.1.11.1), mclust (>= 5.4.6), utils (>= 3.5.2) 23 | Suggests: 24 | gemtc, robvis, rmarkdown, knitr, devtools, testthat 25 | VignetteBuilder: knitr 26 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | YEAR: 2020 2 | COPYRIGHT HOLDER: Mathias Harrer 3 | -------------------------------------------------------------------------------- /R/DepressionMortality.R: -------------------------------------------------------------------------------- 1 | #' Effect of Depression on All-Cause Mortality 2 | #' 3 | #' This is a dataset of studies examining the effect of depression status on all-cause excess mortality. 4 | #' 5 | #' @format A \code{data.frame} with 5 columns. 6 | #' \describe{ 7 | #' \item{author}{\code{character}. The study label containing the first author and year of the study.} 8 | #' \item{event.e}{\code{numeric}. The number of deaths in patients with depression.} 9 | #' \item{n.e}{\code{numeric}. The total number of patients with depression.} 10 | #' \item{event.c}{\code{numeric}. The number of deaths in the control group without depression status.} 11 | #' \item{n.c}{\code{numeric}. The total number of individuals in the control group.} 12 | #' \item{country}{\code{character}. The country in which the study was conducted.} 13 | #' } 14 | #' 15 | #' @details This data set was used in a meta-analysis by Cuijpers and Smit (2002), examining the impact of subclinical and full-symptom depression 16 | #' on excess mortality. The meta-analysis studied differences in the rate of deaths between individuals with and without depression within the same 17 | #' timeframe. To avoid unit-of-analyses issues, we pooled event counts of studies which contributed more than one effect size in the original analysis. 18 | #' Results are therefore not exactly identical with the ones reported in Cuijpers and Smit (2002). 19 | #' 20 | #' 21 | #' @source Cuijpers, P., & Smit, F. (2002). Excess Mortality in Depression: a Meta-Analysis of Community Studies. 22 | #' \emph{Journal of Affective Disorders, 72}(3), 227-236. 23 | #' 24 | #' @usage data("DepressionMortality") 25 | #' 26 | #' @author Mathias Harrer & Pim Cuijpers 27 | #' 28 | "DepressionMortality" 29 | -------------------------------------------------------------------------------- /R/HealthWellbeing.R: -------------------------------------------------------------------------------- 1 | #' Association of Health and Well-being dataset 2 | #' 3 | #' This is a dataset containing effect size data of a meta-analysis examining the relationship 4 | #' between health status and well-being. 5 | #' 6 | #' @format A \code{data.frame} with 5 columns. 7 | #' \describe{ 8 | #' \item{author}{\code{character}. The study label containing the first author and year of the study.} 9 | #' \item{cor}{\code{numeric}. The Pearson correlation between health and well-being.} 10 | #' \item{n}{\code{numeric}. The sample size of the study.} 11 | #' \item{population}{\code{character}. The type of sample in which the effects were measured.} 12 | #' \item{country}{\code{character}. The country in which the study was conducted.} 13 | #' } 14 | #' 15 | #' @details This data set is based on a meta-analysis examining the correlation between health status and subjective well-being 16 | #' (operationalized as life satisfaction or happiness; Ngamaba et al., 2017). 17 | #' 18 | #' @source Ngamaba, K. H., Panagioti, M., & Armitage, C. J. (2017). How strongly related are health status and subjective well-being? 19 | #' Systematic review and meta-analysis. \emph{The European Journal of Public Health, 27}(5), 879-885. 20 | #' 21 | #' @usage data("HealthWellbeing") 22 | #' 23 | #' @author Mathias Harrer 24 | #' 25 | "HealthWellbeing" 26 | -------------------------------------------------------------------------------- /R/NetDataGemtc.R: -------------------------------------------------------------------------------- 1 | #' Toy Dataset for Network Meta-Analyses using the gemtc package 2 | #' 3 | #' This is a toy dataset containing simulated effect size data of a fictitious 4 | #' network meta-analysis examining the effect of psychotherapies. Effect size 5 | #' data is provided as the standardized mean difference (\emph{SMD}) between the intervention 6 | #' and control group and its corresponding standard error for each study at post. 7 | #' The dataframe layout is optimized for out-of-the-box usage using the \code{data.re} 8 | #' argument of the \code{\link[gemtc]{mtc.network}} function. 9 | #' 10 | #' 11 | #' @format A data.frame with 4 columns. 12 | #' \describe{ 13 | #' \item{study}{\code{character}. The name of the included study.} 14 | #' \item{treatment}{\code{character}. The name of the treatment under study. Includes psychotherapies for 15 | #' the treatment of depression, "CBT" (Cognitive Behavioral Therapy), "PDT" (Psychodynamic Therapy), 16 | #' "IPT" (Interpersonal Therapy), "PST" (Problem-solving Therapy) and "SUP" (Supportive Counseling), 17 | #' and comparison conditions, "TAU" (Treatment as usual), "Placebo" (Placebo), and "WLC" (Waitlist control). 18 | #' Each treatment condition in a study is displayed in its own row of the dataframe.} 19 | #' \item{diff}{\code{numeric}. The standardized mean difference of the comparison. The row in each study in which 20 | #' this variable is \code{NA} represents the comparison condition for the effect size displayed above.} 21 | #' \item{std.err}{\code{numeric}. The standard error of the comparison. The row in each study in which 22 | #' this variable is \code{NA} represents the comparison condition for the standard error of 23 | #' the effect size displayed above.} 24 | #' } 25 | #' 26 | #' @source Simulated data. 27 | #' 28 | #' @usage data("NetDataGemtc") 29 | #' 30 | #' @author Mathias Harrer, David Daniel Ebert 31 | #' 32 | "NetDataGemtc" 33 | -------------------------------------------------------------------------------- /R/NetDataNetmeta.R: -------------------------------------------------------------------------------- 1 | #' Toy Dataset for Network Meta-Analysis using the netmeta package 2 | #' 3 | #' This is a toy dataset containing simulated effect size data of a fictitious 4 | #' network meta-analysis examining the effect of psychotherapies. Effect size 5 | #' data is provided as the standardized mean difference (SMD) between the intervention 6 | #' and control group and its corresponding standard error for each study at post. 7 | #' The dataframe layout is optimized for out-of-the-box usage using 8 | #' the \code{\link[netmeta]{netmeta}} function. 9 | #' 10 | #' 11 | #' @format A data.frame with 5 columns. 12 | #' \describe{ 13 | #' \item{studlab}{\code{character}. The name of the included study.} 14 | #' \item{treat1}{\code{character}. The name of the first treatment. Includes psychotherapies for 15 | #' the treatment of depression, "CBT" (Cognitive Behavioral Therapy), "PDT" (Psychodynamic Therapy), 16 | #' "IPT" (Interpersonal Therapy), "PST" (Problem-solving Therapy) and "SUP" (Supportive Counseling), 17 | #' and standard comparison conditions, "TAU" (Treatment as usual), "Placebo" (Placebo), and "WLC" (Waitlist control).} 18 | #' \item{treat2}{\code{character}. The name of the treatment the first treatment was compared to. Includes psychotherapies for 19 | #' the treatment of depression, "CBT" (Cognitive Behavioral Therapy), "PDT" (Psychodynamic Therapy), 20 | #' "IPT" (Interpersonal Therapy), "PST" (Problem-solving Therapy) and "SUP" (Supportive Counseling), 21 | #' and standard comparison conditions, "TAU" (Treatment as usual), "Placebo" (Placebo), and "WLC" (Waitlist control).} 22 | #' \item{TE}{\code{numeric}. The standardized mean difference of the comparison.} 23 | #' \item{seTE}{\code{numeric}. The standard error of the comparison.} 24 | #' } 25 | #' 26 | #' @source Simulated data. 27 | #' 28 | #' @usage data("NetDataNetmeta") 29 | #' 30 | #' @author Mathias Harrer, David Daniel Ebert 31 | #' 32 | "NetDataNetmeta" 33 | -------------------------------------------------------------------------------- /R/OpioidMisuse.R: -------------------------------------------------------------------------------- 1 | #' Prevalence of Prescription Opioid Misuse in US Adolescents and Young Adults dataset 2 | #' 3 | #' This is a dataset containing results of studies examining the prevalence of prescribed opioid misuse among adolescents 4 | #' and young adults in the United States. 5 | #' 6 | #' @format A \code{data.frame} with 3 columns. 7 | #' \describe{ 8 | #' \item{author}{\code{character}. The study label containing the first author and year of the study.} 9 | #' \item{event}{\code{numeric}. The number of opioid misuse cases.} 10 | #' \item{n}{\code{numeric}. Sample size of the study.} 11 | #' } 12 | #' 13 | #' @details Studies included in this dataset were identified through a meta-analysis of Jordan et al. (2017), which examined 14 | #' the pooled prevalence of prescription opioid misuse among US individuals 11 to 30 years of age. The dataset is meant for 15 | #' illustration purposes, and only contains a subset of the studies included in Jordan and colleagues' study. 16 | #' Results are therefore not identical with the actual results of this meta-analysis, and should not be interpreted as an 17 | #' accurate representation of the evidence. 18 | #' 19 | #' @source Jordan, A. E., Blackburn, N. A., Des Jarlais, D. C., & Hagan, H. (2017). Past-year prevalence of prescription opioid misuse 20 | #' among those 11 to 30 years of age in the United States: A systematic review and meta-analysis. \emph{Journal of Substance Abuse Treatment, 77}, 31-37. 21 | #' 22 | #' @usage data("OpioidMisuse") 23 | #' 24 | #' @author Mathias Harrer 25 | #' 26 | "OpioidMisuse" 27 | -------------------------------------------------------------------------------- /R/SleepProblems.R: -------------------------------------------------------------------------------- 1 | #' Factor Structure of Sleep Complaints data set 2 | #' 3 | #' This is a fictitious data set containing correlation matrices of five sleep-related variables. 4 | #' 5 | #' @format A \code{list} with 2 elements. 6 | #' \describe{ 7 | #' \item{data}{\code{list}. Contains correlation matrices of k=11 studies. Each correlation matrix 8 | #' has the same structure, and contains the variables "sleep quality", "sleep latency", "sleep efficiency", "daytime dysfunction" and "hypersomnia".} 9 | #' \item{n}{\code{numeric}. Sample size of each study.} 10 | #' } 11 | #' 12 | #' @details This simulated data set can by used to fit a meta-analytic structural equation model using \code{\link[metaSEM]{tssem1}}. It is assumed that 13 | #' "sleep quality", "sleep latency" and "sleep efficiency" load on the latent factor "insomnia", while "daytime dysfunction" and "hypersomnia" measure the 14 | #' latent factor "lassitude". 15 | #' 16 | #' @source Fictitious data set. Data were simulated using the \code{\link[lavaan]{simulateData}} function in \code{lavaan}. 17 | #' 18 | #' @usage data("SleepProblems") 19 | #' 20 | #' @author Mathias Harrer 21 | #' 22 | "SleepProblems" 23 | -------------------------------------------------------------------------------- /R/SuicidePrevention.R: -------------------------------------------------------------------------------- 1 | #' Effects of Suicide Prevention on Suicidal Ideation (toy dataset) 2 | #' 3 | #' This is a toy dataset of studies simulating a meta-analysis on the effects of suicide prevention interventions on suicidal ideation. 4 | #' 5 | #' @format A \code{data.frame} with 10 columns. 6 | #' \describe{ 7 | #' \item{author}{\code{character}. The study label containing the first author and year of the study.} 8 | #' \item{n.e}{\code{numeric}. The sample size in the experimental/treatment group.} 9 | #' \item{mean.e}{\code{numeric}. The mean in the experimental/treatment group.} 10 | #' \item{sd.e}{\code{numeric}. The standard deviation in the experimental/treatment group.} 11 | #' \item{n.c}{\code{numeric}. The sample size in the control group.} 12 | #' \item{mean.c}{\code{numeric}. The mean in the control group.} 13 | #' \item{sd.c}{\code{numeric}. The standard deviation in the control group.} 14 | #' \item{pubyear}{\code{numeric}. The publication year of each study.} 15 | #' \item{age_group}{\code{factor}. The age group of the study sample.} 16 | #' \item{control}{\code{factor}. The type of control group used in the study.} 17 | #' } 18 | #' 19 | #' @details This data set is based on simulated values meant for illustration purposes. The overall effect was constructed to 20 | #' have approximately the same magnitude as a real-world meta-analysis by Büscher et al. (2020). 21 | #' 22 | #' @source Simulated data. 23 | #' 24 | #' @references 25 | #' 26 | #' Büscher, R., Torok, M., Terhorst, Y., & Sander, L. (2020). Internet-based cognitive behavioral therapy to reduce suicidal ideation: 27 | #' a systematic review and meta-analysis. \emph{JAMA Network Open, 3}(4), e203933-e203933. 28 | #' 29 | #' @usage data("SuicidePrevention") 30 | #' 31 | #' @author Mathias Harrer 32 | #' 33 | "SuicidePrevention" 34 | -------------------------------------------------------------------------------- /R/dmetar.R: -------------------------------------------------------------------------------- 1 | #' dmetar: Companion R package for the guide 'Doing Meta-Analysis in R' 2 | #' 3 | #' \code{dmetar} serves as the companion R package for the 4 | #' guide \href{https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/}{Doing Meta-Analysis in R} 5 | #' by Mathias Harrer, Pim Cuijpers, Toshi Furukawa and David Daniel Ebert. 6 | #' 7 | #' The package contains complementary functions to facilitate the conduction of meta-analyses 8 | #' using the \pkg{meta}, \pkg{metafor}, \pkg{netmeta} and \pkg{gemtc} packages. 9 | #' 10 | #' @author Mathias Harrer \email{mathias.harrer@fau.de}, David Daniel Ebert \email{david.daniel.ebert@gmail.com} 11 | #' @docType package 12 | #' @name dmetar 13 | "_PACKAGE" 14 | -------------------------------------------------------------------------------- /R/globals.R: -------------------------------------------------------------------------------- 1 | utils::globalVariables(c("studlab", "rstudent", "study", "is.infl", "dffits", 2 | "cook.d", "cov.r", "tau2.del", "QE.del", "hat", 3 | "weight", "i2", "lower", "upper", "y", "se", "comparison", 4 | "variable", "value", "model", "punif", "condition", "measurement", 5 | "TE", "seTE", "Subgroup", "Treatment", "SUCRA", "estimate", 6 | "I2", "cluster", "Delta_Percentage", "Cluster", "cooks.distance", 7 | "Cooks.Distance", "Type", "return_null", ".makeListNames", 8 | ".subst.with", ".subst.term", ".subst.vars.for.args", ".subst.v", 9 | ".subset_dc", "p", "update")) 10 | -------------------------------------------------------------------------------- /R/m.gosh.R: -------------------------------------------------------------------------------- 1 | #' GOSH plot dataset 2 | #' 3 | #' @format Dataset of class \code{gosh.rma}. 4 | #' 5 | #' @source Data generated by fitting a random-effects meta-analysis with \code{rma.uni} 6 | #' using \code{dmetar}s in-built \code{ThirdWave} dataset, which was then provided as input to the 7 | #' \code{gosh} function in \code{metafor}. 8 | #' 9 | #' @usage data("m.gosh") 10 | #' 11 | #' @author Mathias Harrer, David Daniel Ebert 12 | #' 13 | "m.gosh" 14 | -------------------------------------------------------------------------------- /R/mvregressiondata.R: -------------------------------------------------------------------------------- 1 | #' Toy Dataset for Multivariate Meta-Regression 2 | #' 3 | #' This is a toy dataset containing simulated effect size data of a fictitious 4 | #' meta-analysis examining the effect of various putative effect moderators. Effect size 5 | #' data is provided as the standardized mean difference (SMD) between the intervention 6 | #' and control group and its corresponding standard error for each study at post. 7 | #' Columns are named in after arguments of the \code{\link[metafor]{rma.uni}} 8 | #' function to facilitate out-of-the-box usage. 9 | #' 10 | #' 11 | #' @format A data.frame with 6 columns. 12 | #' \describe{ 13 | #' \item{yi}{Numeric. The calculated standardized mean difference at post-test between the intervention and control group} 14 | #' \item{sei}{Numeric. The standard error of the standardized mean difference} 15 | #' \item{reputation}{Numeric. The mean-centered score signifying the 16 | #' "reputation" (for example, impact factor) of the journal the respective study was published in.} 17 | #' \item{quality}{Numeric. The methodological quality of the study, rated from 0-10 (low to high).} 18 | #' \item{pubyear}{Numeric. The z-standardized year of publication.} 19 | #' \item{continent}{Numeric. The continent the study was conducted in.} 20 | #' } 21 | #' 22 | #' @source Simulated data. 23 | #' 24 | #' @usage data("MVRegressionData") 25 | #' 26 | #' @author Mathias Harrer, David Daniel Ebert 27 | #' 28 | "MVRegressionData" 29 | -------------------------------------------------------------------------------- /R/plot.direct.evidence.plot.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' 8 | #' @param x An object of class \code{direct.evidence.plot}. 9 | #' @param ... Other arguments. 10 | #' 11 | #' @details 12 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 13 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 14 | #' When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 15 | #' plot is returned). 16 | #' 17 | #' @author Mathias Harrer & David Daniel Ebert 18 | #' 19 | #' @importFrom grid grid.newpage grid.draw 20 | #' @importFrom gridExtra grid.arrange 21 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 22 | #' 23 | #' @method plot direct.evidence.plot 24 | #' @export 25 | 26 | 27 | 28 | plot.direct.evidence.plot = function(x, ...){ 29 | 30 | grid::grid.newpage() 31 | grid.draw(x$plot, ...) 32 | 33 | } 34 | -------------------------------------------------------------------------------- /R/plot.eggers.test.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 6 | #' 7 | #' 8 | #' 9 | #' @param x An object of class \code{eggers.test}. 10 | #' @param ... Additional arguments. 11 | #' 12 | #' @details 13 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 14 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 15 | #' 16 | #' @author Mathias Harrer & David Daniel Ebert 17 | #' 18 | #' 19 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 20 | #' @importFrom meta funnel 21 | #' 22 | #' @export 23 | #' @method plot eggers.test 24 | 25 | plot.eggers.test = function(x, ...){ 26 | 27 | meta::funnel(x$meta.obj, ...) 28 | 29 | } 30 | -------------------------------------------------------------------------------- /R/plot.mlm.variance.distribution.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, \code{mlm.variance.distribution}, and \code{sucra}. 6 | #' 7 | #' 8 | #' @param x An object of class \code{mlm.variance.distribution}. 9 | #' @param greyscale Should a black and white plot be generated? \code{FALSE} by default. 10 | #' @param ... Additional arguments. 11 | #' 12 | #' @details 13 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 14 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 15 | #' 16 | #' @author Mathias Harrer & David Daniel Ebert 17 | #' 18 | #' 19 | #' @import ggplot2 20 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 21 | #' 22 | #' @export 23 | #' @method plot mlm.variance.distribution 24 | 25 | plot.mlm.variance.distribution = function(x, greyscale = FALSE, ...){ 26 | 27 | if (greyscale == TRUE){ 28 | suppressWarnings(suppressMessages(plot(x$plot + scale_fill_manual(values = c("gray85", "gray90", "white", "gray85", "gray95"))))) 29 | } else { 30 | suppressWarnings(plot(x$plot)) 31 | } 32 | 33 | } 34 | 35 | 36 | -------------------------------------------------------------------------------- /R/plot.multimodel.inference.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' @param x An object of class \code{multimodel.inference}. 8 | #' @param ... Additional arguments. 9 | #' 10 | #' @details 11 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 12 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 13 | #' 14 | #' @author Mathias Harrer & David Daniel Ebert 15 | #' 16 | #' 17 | #' @import ggplot2 18 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 19 | #' 20 | #' @export 21 | #' @method plot multimodel.inference 22 | 23 | 24 | 25 | plot.multimodel.inference = function(x, ...){ 26 | 27 | # Generate Plot 28 | plot(x$predictor.importance.plot) 29 | 30 | } 31 | -------------------------------------------------------------------------------- /R/plot.power.analysis.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 6 | #' 7 | #' 8 | #' 9 | #' @param x An object of class \code{power.analysis}. 10 | #' @param ... Additional arguments. 11 | #' 12 | #' @details 13 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 14 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 15 | #' 16 | #' @author Mathias Harrer & David Daniel Ebert 17 | #' 18 | #' 19 | #' @import ggplot2 20 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 21 | #' 22 | #' @export 23 | #' @method plot power.analysis 24 | 25 | plot.power.analysis = function(x, ...){ 26 | 27 | plot(x$Plot) 28 | 29 | } 30 | -------------------------------------------------------------------------------- /R/plot.power.analysis.subgroup.R: -------------------------------------------------------------------------------- 1 | 2 | #' Print, summary and plot methods for objects created using 'dmetar' functions 3 | #' 4 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 5 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 6 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 7 | #' 8 | #' @param x An object of class \code{power.analysis.subgroup}. 9 | #' @param ... Additional arguments. 10 | #' 11 | #' @details 12 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 13 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 14 | #' 15 | #' @author Mathias Harrer & David Daniel Ebert 16 | #' 17 | #' 18 | #' @import ggplot2 19 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 20 | #' 21 | #' @export 22 | #' @method plot power.analysis.subgroup 23 | 24 | plot.power.analysis.subgroup = function(x, ...){ 25 | 26 | plot(x$Plot) 27 | 28 | } 29 | -------------------------------------------------------------------------------- /R/plot.sucra.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' 8 | #' @param x An object of class \code{sucra}. 9 | #' @param ... Additional arguments. 10 | #' 11 | #' @details 12 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 13 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 14 | #' 15 | #' @author Mathias Harrer & David Daniel Ebert 16 | #' 17 | #' 18 | #' @import ggplot2 19 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 20 | #' 21 | #' @export 22 | #' @method plot sucra 23 | 24 | plot.sucra = function(x, ...){ 25 | 26 | class(x) = "data.frame" 27 | res = x 28 | res$Treatment = rownames(res) 29 | res$Treatment = factor(res$Treatment, 30 | levels = res$Treatment[rev(order(res$SUCRA))]) 31 | 32 | ggplot2::ggplot(res, aes(x=Treatment, y=SUCRA)) + 33 | geom_bar(stat="identity") + 34 | theme_minimal() + 35 | theme(axis.text.x = element_text(angle=45, color="black"), 36 | axis.text.y = element_text(color="black")) + 37 | ylab("SUCRA") + 38 | xlab("Treatment") 39 | 40 | } 41 | -------------------------------------------------------------------------------- /R/print.mlm.variance.distribution.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, \code{mlm.variance.distribution}, and \code{sucra}. 6 | #' 7 | #' @param x An object of class \code{mlm.variance.distribution}. 8 | #' @param ... Additional arguments. 9 | #' 10 | #' @details 11 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 12 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 13 | #' 14 | #' @author Mathias Harrer & David Daniel Ebert 15 | #' 16 | #' @import ggplot2 17 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 18 | #' 19 | #' @export 20 | #' @method print mlm.variance.distribution 21 | 22 | print.mlm.variance.distribution = function(x, ...){ 23 | 24 | print(x$results) 25 | cat("Total I2: ", round(x$totalI2, 2), "% \n", sep="") 26 | 27 | } 28 | -------------------------------------------------------------------------------- /R/print.power.analysis.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' @param x An object of class \code{power.analysis}. 8 | #' @param ... Additional arguments. 9 | #' 10 | #' @details 11 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 12 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 13 | #' 14 | #' @author Mathias Harrer & David Daniel Ebert 15 | #' 16 | #' @import ggplot2 17 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 18 | #' 19 | #' @export 20 | #' @method print power.analysis 21 | 22 | print.power.analysis = function(x, ...){ 23 | 24 | if (class(x)[2] == "log"){ 25 | cat("Power Analysis based on log-transformed OR. \n") 26 | } 27 | 28 | if (class(x)[3] == "fixed"){ 29 | cat("Fixed-effect model used. \n") 30 | } 31 | 32 | if (class(x)[3] == "low"){ 33 | cat("Random-effects model used (low heterogeneity assumed). \n") 34 | } 35 | 36 | if (class(x)[3] == "moderate"){ 37 | cat("Random-effects model used (moderate heterogeneity assumed). \n") 38 | } 39 | 40 | if (class(x)[3] == "high"){ 41 | cat("Random-effects model used (high heterogeneity assumed). \n") 42 | } 43 | 44 | plot(x$Plot) 45 | 46 | cat(paste0("Power: ", round(x$Power*100,2), "%")) 47 | 48 | } 49 | -------------------------------------------------------------------------------- /R/print.power.analysis.subgroup.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' @param x An object of class \code{power.analysis.subgroup}. 8 | #' @param ... Additional arguments. 9 | #' 10 | #' @details 11 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 12 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 13 | #' 14 | #' @author Mathias Harrer & David Daniel Ebert 15 | #' 16 | #' @import ggplot2 17 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 18 | #' 19 | #' @export 20 | #' @method print power.analysis.subgroup 21 | 22 | 23 | print.power.analysis.subgroup = function(x, ...){ 24 | 25 | if (!is.na(x$Data[x$Data$Power >= 0.8, ][1, 2])) { 26 | 27 | cat("Minimum effect size difference needed for sufficient power: ", x$Data[x$Data$Power >= 0.8, ][1, 2], 28 | " (input: ", round(x$Gamma, 2), 29 | ")", "\n", sep = "") 30 | 31 | } 32 | 33 | if (x$Test == "two.tailed"){ 34 | 35 | cat(paste0("Power for subgroup difference test (two-tailed): ", round(x$Power*100, 2), "%")) 36 | 37 | } 38 | 39 | if (x$Test == "one.tailed"){ 40 | 41 | cat(paste0("Power for subgroup difference test (one-tailed): ", round(x$Power*100, 2), "%")) 42 | 43 | } 44 | 45 | plot(x$Plot) 46 | 47 | } 48 | -------------------------------------------------------------------------------- /R/print.subgroup.analysis.mixed.effects.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' @param x An object of class \code{subgroup.analysis.mixed.effects}. 8 | #' @param ... Additional arguments. 9 | #' 10 | #' @details 11 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 12 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 13 | #' 14 | #' @author Mathias Harrer & David Daniel Ebert 15 | #' 16 | #' 17 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 18 | #' 19 | #' @export 20 | #' @method print subgroup.analysis.mixed.effects 21 | 22 | print.subgroup.analysis.mixed.effects = function(x, ...){ 23 | 24 | cat("Subgroup Results:", "--------------", sep = "\n") 25 | print(x$within.subgroup.results) 26 | cat("", "Test for subgroup differences (mixed/fixed-effects (plural) model):", 27 | "--------------", sep = "\n") 28 | print(x$subgroup.analysis.results) 29 | cat("", sep = "\n") 30 | cat("- Total number of studies included in subgroup analysis: ", x$k) 31 | cat("", sep = "\n") 32 | cat("- Tau estimator used for within-group pooling: ", x$method.tau) 33 | 34 | } 35 | -------------------------------------------------------------------------------- /R/print.sucra.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 6 | #' 7 | #' @param x An object of class \code{direct.evidence.plot}, \code{find.outliers}, 8 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 9 | #' \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, or \code{sucra}. 10 | #' @param ... Additional arguments. 11 | #' 12 | #' @details 13 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 14 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 15 | #' 16 | #' @author Mathias Harrer & David Daniel Ebert 17 | #' 18 | #' 19 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 20 | #' 21 | #' @export 22 | #' @method print sucra 23 | 24 | 25 | print.sucra = function(x, ...){ 26 | 27 | class(x) = "data.frame" 28 | print(x) 29 | 30 | } 31 | -------------------------------------------------------------------------------- /R/summary.mlm.variance.distribution.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, \code{mlm.variance.distribution}, and \code{sucra}. 6 | #' 7 | #' @param object An object of class \code{mlm.variance.distribution}. 8 | #' @param ... Additional arguments. 9 | #' 10 | #' @details 11 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 12 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 13 | #' 14 | #' @author Mathias Harrer & David Daniel Ebert 15 | #' 16 | #' @import ggplot2 17 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 18 | #' 19 | #' @export 20 | #' @method summary mlm.variance.distribution 21 | 22 | summary.mlm.variance.distribution = function(object, ...){ 23 | 24 | x = object 25 | 26 | print(x$results) 27 | cat("Total I2: ", round(x$totalI2, 2), "% \n", sep="") 28 | 29 | } 30 | -------------------------------------------------------------------------------- /R/summary.power.analysis.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' 8 | #' @param object An object of class \code{power.analysis}. 9 | #' @param ... Additional arguments. 10 | #' 11 | #' @details 12 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 13 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 14 | #' 15 | #' @author Mathias Harrer & David Daniel Ebert 16 | #' 17 | #' 18 | #' @import ggplot2 19 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 20 | #' 21 | #' @export 22 | #' @method summary power.analysis 23 | 24 | summary.power.analysis = function(object, ...){ 25 | 26 | x = object 27 | 28 | if (class(x)[2] == "log"){ 29 | cat("Power Analysis based on log-transformed OR. \n") 30 | } 31 | 32 | if (class(x)[3] == "fixed"){ 33 | cat("Fixed-effect model used. \n") 34 | } 35 | 36 | if (class(x)[3] == "low"){ 37 | cat("Random-effects model used (low heterogeneity assumed). \n") 38 | } 39 | 40 | if (class(x)[3] == "moderate"){ 41 | cat("Random-effects model used (moderate heterogeneity assumed). \n") 42 | } 43 | 44 | if (class(x)[3] == "high"){ 45 | cat("Random-effects model used (high heterogeneity assumed). \n") 46 | } 47 | 48 | plot(x$Plot) 49 | 50 | cat(paste0("Power: ", round(x$Power*100,2), "%")) 51 | 52 | } 53 | -------------------------------------------------------------------------------- /R/summary.power.analysis.subgroup.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' @param object An object of class \code{power.analysis.subgroup}. 8 | #' @param ... Additional arguments. 9 | #' 10 | #' @details 11 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 12 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 13 | #' 14 | #' @author Mathias Harrer & David Daniel Ebert 15 | #' 16 | #' 17 | #' @import ggplot2 18 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 19 | #' 20 | #' @export 21 | #' @method summary power.analysis.subgroup 22 | 23 | 24 | summary.power.analysis.subgroup = function(object, ...){ 25 | 26 | x = object 27 | 28 | if (!is.na(x$Data[x$Data$Power >= 0.8, ][1, 2])) { 29 | 30 | cat("Minimum effect size difference needed for sufficient power: ", x$Data[x$Data$Power >= 0.8, ][1, 2], 31 | " (input: ", round(x$Gamma, 2), 32 | ")", "\n", sep = "") 33 | 34 | } 35 | 36 | if (x$Test == "two.tailed"){ 37 | 38 | cat(paste0("Power for subgroup difference test (two-tailed): ", round(x$Power*100, 2), "%")) 39 | 40 | } 41 | 42 | if (x$Test == "one.tailed"){ 43 | 44 | cat(paste0("Power for subgroup difference test (one-tailed): ", round(x$Power*100, 2), "%")) 45 | 46 | } 47 | 48 | plot(x$Plot) 49 | 50 | } 51 | -------------------------------------------------------------------------------- /R/summary.subgroup.analysis.mixed.effects.R: -------------------------------------------------------------------------------- 1 | #' Print, summary and plot methods for objects created using 'dmetar' functions 2 | #' 3 | #' Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 4 | #' \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 5 | #' \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 6 | #' 7 | #' 8 | #' @param object An object of class \code{subgroup.analysis.mixed.effects}. 9 | #' @param ... Additional arguments. 10 | #' 11 | #' @details 12 | #' A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 13 | #' \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 14 | #' 15 | #' @author Mathias Harrer & David Daniel Ebert 16 | #' 17 | #' @importFrom stats as.formula hat influence ks.test optimize pbinom pchisq pf pnorm pt punif qchisq qf qnorm qt reformulate reorder setNames uniroot 18 | #' 19 | #' @export 20 | #' @method summary subgroup.analysis.mixed.effects 21 | 22 | summary.subgroup.analysis.mixed.effects = function(object, ...){ 23 | 24 | x = object 25 | 26 | cat("Subgroup Results:", "--------------", sep = "\n") 27 | print(x$within.subgroup.results) 28 | cat("", "Test for subgroup differences (mixed/fixed-effects (plural) model):", 29 | "--------------", sep = "\n") 30 | print(x$subgroup.analysis.results) 31 | cat("", sep = "\n") 32 | cat("- Total number of studies included in subgroup analysis: ", x$k) 33 | cat("", sep = "\n") 34 | cat("- Tau estimator used for within-group pooling: ", x$method.tau) 35 | 36 | } 37 | -------------------------------------------------------------------------------- /R/thirdwave.R: -------------------------------------------------------------------------------- 1 | #' 'Third-Wave' cognitive behavioral interventions for perceived stress in college students dataset 2 | #' 3 | #' This is a toy dataset containing pre-calculated effect size data of a meta-analysis on 4 | #' randomized controlled trials comparing the effectiveness of 'third-wave' CBT interventions 5 | #' for perceived stress in college students to inactive controls. Effect size data is provided 6 | #' as the standardized mean difference (SMD) between the intervention and control group 7 | #' and the corresponding standard error for each study at post. 8 | #' The dataset also contains columns for study characteristics which may serve as potential 9 | #' effect size moderators. 10 | #' 11 | #' @format A \code{data.frame} with 8 columns. 12 | #' \describe{ 13 | #' \item{Author}{\code{character}. The study label containing the author(s) of the study.} 14 | #' \item{TE}{\code{numeric}. The calculated standardized mean difference at post-test between the intervention and control group.} 15 | #' \item{seTE}{\code{numeric}. The standard error of the standardized mean difference.} 16 | #' \item{RiskOfBias}{\code{character}. The risk of bias rating according to the Cochrane Risk of Bias Tool.} 17 | #' \item{TypeControlGroup}{\code{character}. The type of control group used in the study.} 18 | #' \item{InterventionDuration}{\code{character}. The dichotomized duration of the intervention.} 19 | #' \item{InterventionType}{\code{character}. The type of third-wave intervention rationale used.} 20 | #' \item{ModeOfDelivery}{\code{character}. The mode of delivery used for the intervention.} 21 | #' } 22 | #' 23 | #' @source Slightly changed dataset of a meta-analysis on third-wave CBT interventions for 24 | #' perceived stress in college students. 25 | #' 26 | #' @usage data(ThirdWave) 27 | #' 28 | #' @author Mathias Harrer, Eva-Maria Rathner, David Daniel Ebert 29 | #' 30 | "ThirdWave" 31 | -------------------------------------------------------------------------------- /R/zzz.R: -------------------------------------------------------------------------------- 1 | .onAttach <- function(libname, pkgname) { 2 | packageStartupMessage("Extensive documentation for the dmetar package can be found at: \n www.bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/") 3 | } 4 | 5 | -------------------------------------------------------------------------------- /data/BdiScores.rda: -------------------------------------------------------------------------------- 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https://raw.githubusercontent.com/MathiasHarrer/dmetar/89dbcac19e6e261225703f8a526b10ec6c49e21d/docs/tum.png -------------------------------------------------------------------------------- /inst/CITATION: -------------------------------------------------------------------------------- 1 | citHeader("To cite 'dmetar' in publications use:") 2 | 3 | citEntry(entry = "Manual", 4 | title = "dmetar: Companion R Package For The Guide 'Doing Meta-Analysis in R'", 5 | author = personList(as.person("Mathias Harrer"), 6 | as.person("Pim Cuijpers"), 7 | as.person("Toshi Furukawa"), 8 | as.person("David Daniel Ebert")), 9 | year = "2019", 10 | note = "R package version 0.1.0", 11 | url = "http://dmetar.protectlab.org/", 12 | 13 | textVersion = 14 | paste("Harrer, M., Cuijpers, P., Furukawa, T. & Ebert, D. D. (2019).", 15 | "dmetar: Companion R Package For The Guide 'Doing Meta-Analysis in R'.", 16 | "R package version 0.1.0. URL http://dmetar.protectlab.org/.") 17 | ) 18 | -------------------------------------------------------------------------------- /man/DepressionMortality.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/DepressionMortality.R 3 | \docType{data} 4 | \name{DepressionMortality} 5 | \alias{DepressionMortality} 6 | \title{Effect of Depression on All-Cause Mortality} 7 | \format{ 8 | A \code{data.frame} with 5 columns. 9 | \describe{ 10 | \item{author}{\code{character}. The study label containing the first author and year of the study.} 11 | \item{event.e}{\code{numeric}. The number of deaths in patients with depression.} 12 | \item{n.e}{\code{numeric}. The total number of patients with depression.} 13 | \item{event.c}{\code{numeric}. The number of deaths in the control group without depression status.} 14 | \item{n.c}{\code{numeric}. The total number of individuals in the control group.} 15 | \item{country}{\code{character}. The country in which the study was conducted.} 16 | } 17 | } 18 | \source{ 19 | Cuijpers, P., & Smit, F. (2002). Excess Mortality in Depression: a Meta-Analysis of Community Studies. 20 | \emph{Journal of Affective Disorders, 72}(3), 227-236. 21 | } 22 | \usage{ 23 | data("DepressionMortality") 24 | } 25 | \description{ 26 | This is a dataset of studies examining the effect of depression status on all-cause excess mortality. 27 | } 28 | \details{ 29 | This data set was used in a meta-analysis by Cuijpers and Smit (2002), examining the impact of subclinical and full-symptom depression 30 | on excess mortality. The meta-analysis studied differences in the rate of deaths between individuals with and without depression within the same 31 | timeframe. To avoid unit-of-analyses issues, we pooled event counts of studies which contributed more than one effect size in the original analysis. 32 | Results are therefore not exactly identical with the ones reported in Cuijpers and Smit (2002). 33 | } 34 | \author{ 35 | Mathias Harrer & Pim Cuijpers 36 | } 37 | \keyword{datasets} 38 | -------------------------------------------------------------------------------- /man/HealthWellbeing.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/HealthWellbeing.R 3 | \docType{data} 4 | \name{HealthWellbeing} 5 | \alias{HealthWellbeing} 6 | \title{Association of Health and Well-being dataset} 7 | \format{ 8 | A \code{data.frame} with 5 columns. 9 | \describe{ 10 | \item{author}{\code{character}. The study label containing the first author and year of the study.} 11 | \item{cor}{\code{numeric}. The Pearson correlation between health and well-being.} 12 | \item{n}{\code{numeric}. The sample size of the study.} 13 | \item{population}{\code{character}. The type of sample in which the effects were measured.} 14 | \item{country}{\code{character}. The country in which the study was conducted.} 15 | } 16 | } 17 | \source{ 18 | Ngamaba, K. H., Panagioti, M., & Armitage, C. J. (2017). How strongly related are health status and subjective well-being? 19 | Systematic review and meta-analysis. \emph{The European Journal of Public Health, 27}(5), 879-885. 20 | } 21 | \usage{ 22 | data("HealthWellbeing") 23 | } 24 | \description{ 25 | This is a dataset containing effect size data of a meta-analysis examining the relationship 26 | between health status and well-being. 27 | } 28 | \details{ 29 | This data set is based on a meta-analysis examining the correlation between health status and subjective well-being 30 | (operationalized as life satisfaction or happiness; Ngamaba et al., 2017). 31 | } 32 | \author{ 33 | Mathias Harrer 34 | } 35 | \keyword{datasets} 36 | -------------------------------------------------------------------------------- /man/MVRegressionData.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/mvregressiondata.R 3 | \docType{data} 4 | \name{MVRegressionData} 5 | \alias{MVRegressionData} 6 | \title{Toy Dataset for Multivariate Meta-Regression} 7 | \format{ 8 | A data.frame with 6 columns. 9 | \describe{ 10 | \item{yi}{Numeric. The calculated standardized mean difference at post-test between the intervention and control group} 11 | \item{sei}{Numeric. The standard error of the standardized mean difference} 12 | \item{reputation}{Numeric. The mean-centered score signifying the 13 | "reputation" (for example, impact factor) of the journal the respective study was published in.} 14 | \item{quality}{Numeric. The methodological quality of the study, rated from 0-10 (low to high).} 15 | \item{pubyear}{Numeric. The z-standardized year of publication.} 16 | \item{continent}{Numeric. The continent the study was conducted in.} 17 | } 18 | } 19 | \source{ 20 | Simulated data. 21 | } 22 | \usage{ 23 | data("MVRegressionData") 24 | } 25 | \description{ 26 | This is a toy dataset containing simulated effect size data of a fictitious 27 | meta-analysis examining the effect of various putative effect moderators. Effect size 28 | data is provided as the standardized mean difference (SMD) between the intervention 29 | and control group and its corresponding standard error for each study at post. 30 | Columns are named in after arguments of the \code{\link[metafor]{rma.uni}} 31 | function to facilitate out-of-the-box usage. 32 | } 33 | \author{ 34 | Mathias Harrer, David Daniel Ebert 35 | } 36 | \keyword{datasets} 37 | -------------------------------------------------------------------------------- /man/OpioidMisuse.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/OpioidMisuse.R 3 | \docType{data} 4 | \name{OpioidMisuse} 5 | \alias{OpioidMisuse} 6 | \title{Prevalence of Prescription Opioid Misuse in US Adolescents and Young Adults dataset} 7 | \format{ 8 | A \code{data.frame} with 3 columns. 9 | \describe{ 10 | \item{author}{\code{character}. The study label containing the first author and year of the study.} 11 | \item{event}{\code{numeric}. The number of opioid misuse cases.} 12 | \item{n}{\code{numeric}. Sample size of the study.} 13 | } 14 | } 15 | \source{ 16 | Jordan, A. E., Blackburn, N. A., Des Jarlais, D. C., & Hagan, H. (2017). Past-year prevalence of prescription opioid misuse 17 | among those 11 to 30 years of age in the United States: A systematic review and meta-analysis. \emph{Journal of Substance Abuse Treatment, 77}, 31-37. 18 | } 19 | \usage{ 20 | data("OpioidMisuse") 21 | } 22 | \description{ 23 | This is a dataset containing results of studies examining the prevalence of prescribed opioid misuse among adolescents 24 | and young adults in the United States. 25 | } 26 | \details{ 27 | Studies included in this dataset were identified through a meta-analysis of Jordan et al. (2017), which examined 28 | the pooled prevalence of prescription opioid misuse among US individuals 11 to 30 years of age. The dataset is meant for 29 | illustration purposes, and only contains a subset of the studies included in Jordan and colleagues' study. 30 | Results are therefore not identical with the actual results of this meta-analysis, and should not be interpreted as an 31 | accurate representation of the evidence. 32 | } 33 | \author{ 34 | Mathias Harrer 35 | } 36 | \keyword{datasets} 37 | -------------------------------------------------------------------------------- /man/SleepProblems.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/SleepProblems.R 3 | \docType{data} 4 | \name{SleepProblems} 5 | \alias{SleepProblems} 6 | \title{Factor Structure of Sleep Complaints data set} 7 | \format{ 8 | A \code{list} with 2 elements. 9 | \describe{ 10 | \item{data}{\code{list}. Contains correlation matrices of k=11 studies. Each correlation matrix 11 | has the same structure, and contains the variables "sleep quality", "sleep latency", "sleep efficiency", "daytime dysfunction" and "hypersomnia".} 12 | \item{n}{\code{numeric}. Sample size of each study.} 13 | } 14 | } 15 | \source{ 16 | Fictitious data set. Data were simulated using the \code{\link[lavaan]{simulateData}} function in \code{lavaan}. 17 | } 18 | \usage{ 19 | data("SleepProblems") 20 | } 21 | \description{ 22 | This is a fictitious data set containing correlation matrices of five sleep-related variables. 23 | } 24 | \details{ 25 | This simulated data set can by used to fit a meta-analytic structural equation model using \code{\link[metaSEM]{tssem1}}. It is assumed that 26 | "sleep quality", "sleep latency" and "sleep efficiency" load on the latent factor "insomnia", while "daytime dysfunction" and "hypersomnia" measure the 27 | latent factor "lassitude". 28 | } 29 | \author{ 30 | Mathias Harrer 31 | } 32 | \keyword{datasets} 33 | -------------------------------------------------------------------------------- /man/SuicidePrevention.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/SuicidePrevention.R 3 | \docType{data} 4 | \name{SuicidePrevention} 5 | \alias{SuicidePrevention} 6 | \title{Effects of Suicide Prevention on Suicidal Ideation (toy dataset)} 7 | \format{ 8 | A \code{data.frame} with 10 columns. 9 | \describe{ 10 | \item{author}{\code{character}. The study label containing the first author and year of the study.} 11 | \item{n.e}{\code{numeric}. The sample size in the experimental/treatment group.} 12 | \item{mean.e}{\code{numeric}. The mean in the experimental/treatment group.} 13 | \item{sd.e}{\code{numeric}. The standard deviation in the experimental/treatment group.} 14 | \item{n.c}{\code{numeric}. The sample size in the control group.} 15 | \item{mean.c}{\code{numeric}. The mean in the control group.} 16 | \item{sd.c}{\code{numeric}. The standard deviation in the control group.} 17 | \item{pubyear}{\code{numeric}. The publication year of each study.} 18 | \item{age_group}{\code{factor}. The age group of the study sample.} 19 | \item{control}{\code{factor}. The type of control group used in the study.} 20 | } 21 | } 22 | \source{ 23 | Simulated data. 24 | } 25 | \usage{ 26 | data("SuicidePrevention") 27 | } 28 | \description{ 29 | This is a toy dataset of studies simulating a meta-analysis on the effects of suicide prevention interventions on suicidal ideation. 30 | } 31 | \details{ 32 | This data set is based on simulated values meant for illustration purposes. The overall effect was constructed to 33 | have approximately the same magnitude as a real-world meta-analysis by Büscher et al. (2020). 34 | } 35 | \references{ 36 | Büscher, R., Torok, M., Terhorst, Y., & Sander, L. (2020). Internet-based cognitive behavioral therapy to reduce suicidal ideation: 37 | a systematic review and meta-analysis. \emph{JAMA Network Open, 3}(4), e203933-e203933. 38 | } 39 | \author{ 40 | Mathias Harrer 41 | } 42 | \keyword{datasets} 43 | -------------------------------------------------------------------------------- /man/dmetar.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/dmetar.R 3 | \docType{package} 4 | \name{dmetar} 5 | \alias{dmetar} 6 | \alias{dmetar-package} 7 | \title{dmetar: Companion R package for the guide 'Doing Meta-Analysis in R'} 8 | \description{ 9 | \code{dmetar} serves as the companion R package for the 10 | guide \href{https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/}{Doing Meta-Analysis in R} 11 | by Mathias Harrer, Pim Cuijpers, Toshi Furukawa and David Daniel Ebert. 12 | } 13 | \details{ 14 | The package contains complementary functions to facilitate the conduction of meta-analyses 15 | using the \pkg{meta}, \pkg{metafor}, \pkg{netmeta} and \pkg{gemtc} packages. 16 | } 17 | \seealso{ 18 | Useful links: 19 | \itemize{ 20 | \item \url{https://dmetar.protectlab.org} 21 | } 22 | 23 | } 24 | \author{ 25 | Mathias Harrer \email{mathias.harrer@fau.de}, David Daniel Ebert \email{david.daniel.ebert@gmail.com} 26 | } 27 | -------------------------------------------------------------------------------- /man/figures/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathiasHarrer/dmetar/89dbcac19e6e261225703f8a526b10ec6c49e21d/man/figures/.DS_Store -------------------------------------------------------------------------------- /man/figures/apple-touch-icon-120x120.png: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathiasHarrer/dmetar/89dbcac19e6e261225703f8a526b10ec6c49e21d/man/figures/front.png -------------------------------------------------------------------------------- /man/figures/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathiasHarrer/dmetar/89dbcac19e6e261225703f8a526b10ec6c49e21d/man/figures/logo.png -------------------------------------------------------------------------------- /man/forest.find.outliers.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/forest.find.outliers.R 3 | \name{forest.find.outliers} 4 | \alias{forest.find.outliers} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{forest}{find.outliers}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{find.outliers}.} 11 | 12 | \item{...}{Other arguments of the \code{meta.forest} or \code{metafor}'s code{\link[metafor]{forest}} 13 | function. Can be used for styling the generated forest plot.} 14 | } 15 | \description{ 16 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 17 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 18 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 19 | } 20 | \details{ 21 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 22 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 23 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 24 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 25 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 26 | calculations are based on). These can be used for further styling of the forest plot. 27 | } 28 | \author{ 29 | Mathias Harrer & David Daniel Ebert 30 | } 31 | -------------------------------------------------------------------------------- /man/forest.subgroup.analysis.mixed.effects.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/forest.subgroup.analysis.mixed.effects.R 3 | \name{forest.subgroup.analysis.mixed.effects} 4 | \alias{forest.subgroup.analysis.mixed.effects} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{forest}{subgroup.analysis.mixed.effects}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{subgroup.analysis.mixed.effects}.} 11 | 12 | \item{...}{Other arguments of the \code{meta.forest} or \code{metafor}'s code{\link[metafor]{forest}} 13 | function. Can be used for styling the generated forest plot.} 14 | } 15 | \description{ 16 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 17 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 18 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 19 | } 20 | \details{ 21 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 22 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 23 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 24 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 25 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 26 | calculations are based on). These can be used for further styling of the forest plot. 27 | } 28 | \author{ 29 | Mathias Harrer & David Daniel Ebert 30 | } 31 | -------------------------------------------------------------------------------- /man/m.gosh.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/m.gosh.R 3 | \docType{data} 4 | \name{m.gosh} 5 | \alias{m.gosh} 6 | \title{GOSH plot dataset} 7 | \format{ 8 | Dataset of class \code{gosh.rma}. 9 | } 10 | \source{ 11 | Data generated by fitting a random-effects meta-analysis with \code{rma.uni} 12 | using \code{dmetar}s in-built \code{ThirdWave} dataset, which was then provided as input to the 13 | \code{gosh} function in \code{metafor}. 14 | } 15 | \usage{ 16 | data("m.gosh") 17 | } 18 | \description{ 19 | GOSH plot dataset 20 | } 21 | \author{ 22 | Mathias Harrer, David Daniel Ebert 23 | } 24 | \keyword{datasets} 25 | -------------------------------------------------------------------------------- /man/plot.InfluenceAnalysis.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.InfluenceAnalysis.R 3 | \name{plot.InfluenceAnalysis} 4 | \alias{plot.InfluenceAnalysis} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{InfluenceAnalysis}(x, which = "all", ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{influence.analysis}.} 11 | 12 | \item{which}{Which plot(s) should be generated? Can be either \code{"all"} (default), \code{"baujat"}, \code{"influence"}, 13 | \code{"ES"} (forest plot sorted by effect size) or \code{"I2"} (forest plot sorted by heterogeneity).} 14 | 15 | \item{...}{Additional arguments.} 16 | } 17 | \description{ 18 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 19 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 20 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 21 | } 22 | \details{ 23 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 24 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 25 | } 26 | \author{ 27 | Mathias Harrer & David Daniel Ebert 28 | } 29 | -------------------------------------------------------------------------------- /man/plot.direct.evidence.plot.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.direct.evidence.plot.R 3 | \name{plot.direct.evidence.plot} 4 | \alias{plot.direct.evidence.plot} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{direct.evidence.plot}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{direct.evidence.plot}.} 11 | 12 | \item{...}{Other arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 23 | plot is returned). 24 | } 25 | \author{ 26 | Mathias Harrer & David Daniel Ebert 27 | } 28 | -------------------------------------------------------------------------------- /man/plot.eggers.test.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.eggers.test.R 3 | \name{plot.eggers.test} 4 | \alias{plot.eggers.test} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{eggers.test}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{eggers.test}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/plot.find.outliers.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.find.outliers.R 3 | \name{plot.find.outliers} 4 | \alias{plot.find.outliers} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{find.outliers}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{find.outliers}.} 11 | 12 | \item{...}{Other arguments of the \code{meta.forest} or \code{metafor}'s \code{\link[metafor]{forest}} 13 | function. Can be used for styling the generated forest plot.} 14 | } 15 | \description{ 16 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 17 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 18 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 19 | } 20 | \details{ 21 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 22 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 23 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 24 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 25 | \code{metafor}'s \code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 26 | calculations are based on). These can be used for further styling of the forest plot. 27 | } 28 | \author{ 29 | Mathias Harrer & David Daniel Ebert 30 | } 31 | -------------------------------------------------------------------------------- /man/plot.gosh.diagnostics.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.gosh.diagnostics.R 3 | \name{plot.gosh.diagnostics} 4 | \alias{plot.gosh.diagnostics} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{gosh.diagnostics}(x, which = c("all", "cluster", "outlier"), ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{gosh.diagnostics}.} 11 | 12 | \item{which}{Type of plot to display. Can be \code{"all"} (all plots), \code{"cluster"} 13 | (cluster plots only) or \code{"outlier"} (outlier plots only, if available).} 14 | 15 | \item{...}{Additional arguments.} 16 | } 17 | \description{ 18 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 19 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 20 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, \code{gosh.diagnostics}, and \code{sucra}. 21 | } 22 | \details{ 23 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 24 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 25 | } 26 | \author{ 27 | Mathias Harrer & David Daniel Ebert 28 | } 29 | -------------------------------------------------------------------------------- /man/plot.mlm.variance.distribution.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.mlm.variance.distribution.R 3 | \name{plot.mlm.variance.distribution} 4 | \alias{plot.mlm.variance.distribution} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{mlm.variance.distribution}(x, greyscale = FALSE, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{mlm.variance.distribution}.} 11 | 12 | \item{greyscale}{Should a black and white plot be generated? \code{FALSE} by default.} 13 | 14 | \item{...}{Additional arguments.} 15 | } 16 | \description{ 17 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 18 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 19 | \code{subgroup.analysis.mixed.effects}, \code{mlm.variance.distribution}, and \code{sucra}. 20 | } 21 | \details{ 22 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 23 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 24 | } 25 | \author{ 26 | Mathias Harrer & David Daniel Ebert 27 | } 28 | -------------------------------------------------------------------------------- /man/plot.multimodel.inference.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.multimodel.inference.R 3 | \name{plot.multimodel.inference} 4 | \alias{plot.multimodel.inference} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{multimodel.inference}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{multimodel.inference}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/plot.power.analysis.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.power.analysis.R 3 | \name{plot.power.analysis} 4 | \alias{plot.power.analysis} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{power.analysis}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{power.analysis}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/plot.power.analysis.subgroup.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.power.analysis.subgroup.R 3 | \name{plot.power.analysis.subgroup} 4 | \alias{plot.power.analysis.subgroup} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{power.analysis.subgroup}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{power.analysis.subgroup}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/plot.subgroup.analysis.mixed.effects.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.subgroup.analysis.mixed.effects.R 3 | \name{plot.subgroup.analysis.mixed.effects} 4 | \alias{plot.subgroup.analysis.mixed.effects} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{subgroup.analysis.mixed.effects}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{subgroup.analysis.mixed.effects}.} 11 | 12 | \item{...}{Other arguments of the \code{meta.forest} or \code{metafor}'s \code{\link[metafor]{forest}} 13 | function. Can be used for styling the generated forest plot.} 14 | } 15 | \description{ 16 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 17 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 18 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 19 | } 20 | \details{ 21 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 22 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 23 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 24 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 25 | \code{metafor}'s \code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 26 | calculations are based on). These can be used for further styling of the forest plot. 27 | } 28 | \author{ 29 | Mathias Harrer & David Daniel Ebert 30 | } 31 | -------------------------------------------------------------------------------- /man/plot.sucra.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/plot.sucra.R 3 | \name{plot.sucra} 4 | \alias{plot.sucra} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{plot}{sucra}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{sucra}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.InfluenceAnalysis.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.InfluenceAnalysis.R 3 | \name{print.InfluenceAnalysis} 4 | \alias{print.InfluenceAnalysis} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{InfluenceAnalysis}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{InfluenceAnalysis}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.NNT.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.NNT.R 3 | \name{print.NNT} 4 | \alias{print.NNT} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{NNT}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{direct.evidence.plot}, \code{find.outliers}, 11 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 12 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, \code{NNT}, or \code{sucra}.} 13 | 14 | \item{...}{Additional arguments.} 15 | } 16 | \description{ 17 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 18 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 19 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, \code{NNT}, and \code{sucra}. 20 | } 21 | \details{ 22 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 23 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 24 | } 25 | \author{ 26 | Mathias Harrer & David Daniel Ebert 27 | } 28 | -------------------------------------------------------------------------------- /man/print.direct.evidence.plot.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.direct.evidence.plot.R 3 | \name{print.direct.evidence.plot} 4 | \alias{print.direct.evidence.plot} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{direct.evidence.plot}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{direct.evidence.plot}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, \code{direct.evidence.plot}, \code{gosh.diagnostics} and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 23 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 24 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 25 | calculations are based on). These can be used for further styling of the forest plot. 26 | } 27 | \author{ 28 | Mathias Harrer & David Daniel Ebert 29 | } 30 | -------------------------------------------------------------------------------- /man/print.eggers.test.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.eggers.test.R 3 | \name{print.eggers.test} 4 | \alias{print.eggers.test} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{eggers.test}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{direct.evidence.plot}, \code{find.outliers}, 11 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 12 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, or \code{sucra}.} 13 | 14 | \item{...}{Additional arguments.} 15 | } 16 | \description{ 17 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 18 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 19 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 20 | } 21 | \details{ 22 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 23 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 24 | } 25 | \author{ 26 | Mathias Harrer & David Daniel Ebert 27 | } 28 | -------------------------------------------------------------------------------- /man/print.find.outliers.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.find.outliers.R 3 | \name{print.find.outliers} 4 | \alias{print.find.outliers} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{find.outliers}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{find.outliers}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 23 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 24 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 25 | calculations are based on). These can be used for further styling of the forest plot. 26 | } 27 | \author{ 28 | Mathias Harrer & David Daniel Ebert 29 | } 30 | -------------------------------------------------------------------------------- /man/print.gosh.diagnostics.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.gosh.diagnostics.R 3 | \name{print.gosh.diagnostics} 4 | \alias{print.gosh.diagnostics} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{gosh.diagnostics}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{gosh.diagnostics}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, \code{direct.evidence.plot}, \code{gosh.diagnostics} and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 23 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 24 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 25 | calculations are based on). These can be used for further styling of the forest plot. 26 | } 27 | \author{ 28 | Mathias Harrer & David Daniel Ebert 29 | } 30 | -------------------------------------------------------------------------------- /man/print.mlm.variance.distribution.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.mlm.variance.distribution.R 3 | \name{print.mlm.variance.distribution} 4 | \alias{print.mlm.variance.distribution} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{mlm.variance.distribution}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{mlm.variance.distribution}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, \code{mlm.variance.distribution}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.multimodel.inference.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.multimodel.inference.R 3 | \name{print.multimodel.inference} 4 | \alias{print.multimodel.inference} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{multimodel.inference}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{multimodel.inference}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.pcurve.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.pcurve.R 3 | \name{print.pcurve} 4 | \alias{print.pcurve} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{pcurve}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{pcurve}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.power.analysis.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.power.analysis.R 3 | \name{print.power.analysis} 4 | \alias{print.power.analysis} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{power.analysis}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{power.analysis}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.power.analysis.subgroup.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.power.analysis.subgroup.R 3 | \name{print.power.analysis.subgroup} 4 | \alias{print.power.analysis.subgroup} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{power.analysis.subgroup}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{power.analysis.subgroup}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.subgroup.analysis.mixed.effects.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.subgroup.analysis.mixed.effects.R 3 | \name{print.subgroup.analysis.mixed.effects} 4 | \alias{print.subgroup.analysis.mixed.effects} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{subgroup.analysis.mixed.effects}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{subgroup.analysis.mixed.effects}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/print.sucra.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/print.sucra.R 3 | \name{print.sucra} 4 | \alias{print.sucra} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{print}{sucra}(x, ...) 8 | } 9 | \arguments{ 10 | \item{x}{An object of class \code{direct.evidence.plot}, \code{find.outliers}, 11 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 12 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, or \code{sucra}.} 13 | 14 | \item{...}{Additional arguments.} 15 | } 16 | \description{ 17 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 18 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 19 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 20 | } 21 | \details{ 22 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 23 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 24 | } 25 | \author{ 26 | Mathias Harrer & David Daniel Ebert 27 | } 28 | -------------------------------------------------------------------------------- /man/summary.InfluenceAnalysis.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.InfluenceAnalysis.R 3 | \name{summary.InfluenceAnalysis} 4 | \alias{summary.InfluenceAnalysis} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{InfluenceAnalysis}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{InfluenceAnalysis}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/summary.direct.evidence.plot.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.direct.evidence.plot.R 3 | \name{summary.direct.evidence.plot} 4 | \alias{summary.direct.evidence.plot} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{direct.evidence.plot}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{direct.evidence.plot}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 23 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 24 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 25 | calculations are based on). These can be used for further styling of the forest plot. 26 | } 27 | \author{ 28 | Mathias Harrer & David Daniel Ebert 29 | } 30 | -------------------------------------------------------------------------------- /man/summary.eggers.test.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.eggers.test.R 3 | \name{summary.eggers.test} 4 | \alias{summary.eggers.test} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{eggers.test}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{direct.evidence.plot}, \code{find.outliers}, 11 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 12 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, or \code{sucra}.} 13 | 14 | \item{...}{Additional arguments.} 15 | } 16 | \description{ 17 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 18 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 19 | \code{subgroup.analysis.mixed.effects}, \code{eggers.test}, and \code{sucra}. 20 | } 21 | \details{ 22 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 23 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 24 | } 25 | \author{ 26 | Mathias Harrer & David Daniel Ebert 27 | } 28 | -------------------------------------------------------------------------------- /man/summary.find.outliers.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.find.outliers.R 3 | \name{summary.find.outliers} 4 | \alias{summary.find.outliers} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{find.outliers}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{find.outliers}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 23 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 24 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 25 | calculations are based on). These can be used for further styling of the forest plot. 26 | } 27 | \author{ 28 | Mathias Harrer & David Daniel Ebert 29 | } 30 | -------------------------------------------------------------------------------- /man/summary.gosh.diagnostics.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.gosh.diagnostics.R 3 | \name{summary.gosh.diagnostics} 4 | \alias{summary.gosh.diagnostics} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{gosh.diagnostics}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{gosh.diagnostics}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, \code{direct.evidence.plot}, \code{gosh.diagnostics} and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | When both \code{plot} and \code{forest} are available for a class, outputs of both functions are identical (i.e., a forest 23 | plot is returned). The \code{forest}/\code{plot} function allows additional arguments of the \code{meta.forest} or 24 | \code{metafor}'s code{\link[metafor]{forest}} function (depending on the class of the meta-analysis object on which prior 25 | calculations are based on). These can be used for further styling of the forest plot. 26 | } 27 | \author{ 28 | Mathias Harrer & David Daniel Ebert 29 | } 30 | -------------------------------------------------------------------------------- /man/summary.mlm.variance.distribution.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.mlm.variance.distribution.R 3 | \name{summary.mlm.variance.distribution} 4 | \alias{summary.mlm.variance.distribution} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{mlm.variance.distribution}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{mlm.variance.distribution}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, \code{mlm.variance.distribution}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/summary.multimodel.inference.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.multimodel.inference.R 3 | \name{summary.multimodel.inference} 4 | \alias{summary.multimodel.inference} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{multimodel.inference}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{multimodel.inference}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/summary.pcurve.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.pcurve.R 3 | \name{summary.pcurve} 4 | \alias{summary.pcurve} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{pcurve}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{pcurve}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/summary.power.analysis.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.power.analysis.R 3 | \name{summary.power.analysis} 4 | \alias{summary.power.analysis} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{power.analysis}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{power.analysis}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/summary.power.analysis.subgroup.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.power.analysis.subgroup.R 3 | \name{summary.power.analysis.subgroup} 4 | \alias{summary.power.analysis.subgroup} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{power.analysis.subgroup}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{power.analysis.subgroup}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /man/summary.subgroup.analysis.mixed.effects.Rd: -------------------------------------------------------------------------------- 1 | % Generated by roxygen2: do not edit by hand 2 | % Please edit documentation in R/summary.subgroup.analysis.mixed.effects.R 3 | \name{summary.subgroup.analysis.mixed.effects} 4 | \alias{summary.subgroup.analysis.mixed.effects} 5 | \title{Print, summary and plot methods for objects created using 'dmetar' functions} 6 | \usage{ 7 | \method{summary}{subgroup.analysis.mixed.effects}(object, ...) 8 | } 9 | \arguments{ 10 | \item{object}{An object of class \code{subgroup.analysis.mixed.effects}.} 11 | 12 | \item{...}{Additional arguments.} 13 | } 14 | \description{ 15 | Print, summary and plot S3 methods for objects of class \code{direct.evidence.plot}, \code{find.outliers}, 16 | \code{influence.analysis}, \code{multimodel.inference}, \code{pcurve}, \code{power.analysis}, 17 | \code{subgroup.analysis.mixed.effects}, and \code{sucra}. 18 | } 19 | \details{ 20 | A total of four package-specific S3 methods are provided in \code{dmetar}: S3 methods for \code{print}, 21 | \code{summary}, \code{plot} and \code{forest}. Outputs from \code{print} and \code{summary} are always identical. 22 | } 23 | \author{ 24 | Mathias Harrer & David Daniel Ebert 25 | } 26 | -------------------------------------------------------------------------------- /pkgdown/favicon/apple-touch-icon-120x120.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathiasHarrer/dmetar/89dbcac19e6e261225703f8a526b10ec6c49e21d/pkgdown/favicon/apple-touch-icon-120x120.png -------------------------------------------------------------------------------- /pkgdown/favicon/apple-touch-icon-152x152.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/MathiasHarrer/dmetar/89dbcac19e6e261225703f8a526b10ec6c49e21d/pkgdown/favicon/apple-touch-icon-152x152.png -------------------------------------------------------------------------------- /pkgdown/favicon/apple-touch-icon-180x180.png: 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