Package index • metafor

Package Introduction Introduction to the package.
`metafor-package` `metafor`	metafor: A Meta-Analysis Package for R
Effect Sizes / Outcome Measures / Data Prep Functions to compute various types of effect sizes / outcome measures and for data preparation.
`escalc()`	Calculate Effect Sizes and Outcome Measures
`rcalc()`	Calculate the Variance-Covariance of Dependent Correlation Coefficients
`vcalc()`	Construct or Approximate the Variance-Covariance Matrix of Dependent Effect Sizes or Outcomes
`conv.wald()`	Convert Wald-Type Confidence Intervals and Tests to Sampling Variances
`conv.delta()`	Transform Observed Effect Sizes or Outcomes and their Sampling Variances using the Delta Method
`conv.fivenum()`	Estimate Means and Standard Deviations from Five-Number Summary Values
`conv.2x2()`	Reconstruct Cell Frequencies of $2 \times 2$ Tables
Model Fitting Main model fitting functions.
`rma.uni()` `rma()`	Meta-Analysis via Linear (Mixed-Effects) Models
`rma.mh()`	Meta-Analysis via the Mantel-Haenszel Method
`rma.peto()`	Meta-Analysis via Peto's Method
`rma.glmm()`	Meta-Analysis via Generalized Linear (Mixed-Effects) Models
`rma.mv()`	Meta-Analysis via Multivariate/Multilevel Linear (Mixed-Effects) Models
Plots / Figures Functions for creating various types of plots and figures.
`funnel()`	Funnel Plots
`forest()`	Forest Plots
`forest(<default>)`	Forest Plots (Default Method)
`forest(<rma>)`	Forest Plots (Method for 'rma' Objects)
`forest(<cumul.rma>)`	Forest Plots (Method for 'cumul.rma' Objects)
`addpoly()`	Add Polygons to Forest Plots
`addpoly(<default>)`	Add Polygons to Forest Plots (Default Method)
`addpoly(<rma>)`	Add Polygons to Forest Plots (Method for 'rma' Objects)
`addpoly(<predict.rma>)`	Add Polygons to Forest Plots (Method for 'predict.rma' Objects)
`regplot()` `points(<regplot>)`	Scatter Plots / Bubble Plots
`baujat()`	Baujat Plots for 'rma' Objects
`labbe()`	L'Abbe Plots for 'rma' Objects
`radial()` `galbraith()`	Radial (Galbraith) Plots for 'rma' Objects
`llplot()`	Plot of Likelihoods for Individual Studies
`gosh()`	GOSH Plots for 'rma' Objects
`plot(<gosh.rma>)`	Plot Method for 'gosh.rma' Objects
`plot(<permutest.rma.uni>)`	Plot Method for 'permutest.rma.uni' Objects
`plot(<rma.uni>)` `plot(<rma.mh>)` `plot(<rma.peto>)` `plot(<rma.glmm>)` `plot(<rma.mv>)`	Plot Method for 'rma' Objects
`plot(<cumul.rma>)`	Plot Method for 'cumul.rma' Objects
`plot(<infl.rma.uni>)`	Plot Method for 'infl.rma.uni' Objects
`profile(<rma.uni>)` `profile(<rma.mv>)` `profile(<rma.uni.selmodel>)` `profile(<rma.ls>)` `print(<profile.rma>)` `plot(<profile.rma>)`	Profile Likelihood Plots for 'rma' Objects
`plot(<rma.uni.selmodel>)`	Plot Method for 'plot.rma.uni.selmodel' Objects
`plot(<vif.rma>)`	Plot Method for 'vif.rma' Objects
`qqnorm(<rma.uni>)` `qqnorm(<rma.mh>)` `qqnorm(<rma.peto>)` `qqnorm(<rma.glmm>)` `qqnorm(<rma.mv>)`	Normal QQ Plots for 'rma' Objects
Publication Bias Functions for detecting, assessing the impact of, and correcting for publication bias (funnel plot asymmetry / small-study effects).
`regtest()`	Regression Test for Funnel Plot Asymmetry
`ranktest()`	Rank Correlation Test for Funnel Plot Asymmetry
`trimfill()`	Trim and Fill Analysis for 'rma.uni' Objects
`selmodel()`	Selection Models
`hc()`	Meta-Analysis based on the Method by Henmi and Copas (2010)
`fsn()`	Fail-Safe N Analysis (File Drawer Analysis)
`tes()` `print(<tes>)`	Test of Excess Significance
Inference Methods Functions for drawing inferences based on meta-analytic models and for assessing the model fit.
`anova(<rma>)`	Likelihood Ratio and Wald-Type Tests for 'rma' Objects
`confint(<rma.uni>)` `confint(<rma.mh>)` `confint(<rma.peto>)` `confint(<rma.glmm>)` `confint(<rma.mv>)` `confint(<rma.uni.selmodel>)` `confint(<rma.ls>)`	Confidence Intervals for 'rma' Objects
`permutest()`	Permutation Tests for 'rma.uni' Objects
`robust()`	Cluster-Robust Tests and Confidence Intervals for 'rma' Objects
`cumul()`	Cumulative Meta-Analysis for 'rma' Objects
`fitted(<rma>)`	Fitted Values for 'rma' Objects
`predict(<rma>)` `predict(<rma.ls>)`	Predicted Values for 'rma' Objects
`ranef(<rma.uni>)` `ranef(<rma.mv>)`	Best Linear Unbiased Predictions for 'rma.uni' and 'rma.mv' Objects
`blup()`	Best Linear Unbiased Predictions for 'rma.uni' Objects
`fitstats()` `logLik(<rma>)` `deviance(<rma>)` `AIC(<rma>)` `BIC(<rma>)`	Fit Statistics and Information Criteria for 'rma' Objects
`simulate(<rma>)`	Simulate Method for 'rma' Objects
`update(<rma>)`	Model Updating for 'rma' Objects
Model Diagnostics Functions for identifying outliers / influential studies, sensitivity analyses, and checking for multicollinearity.
`residuals(<rma>)` `rstandard(<rma.uni>)` `rstandard(<rma.mh>)` `rstandard(<rma.peto>)` `rstandard(<rma.mv>)` `rstudent(<rma.uni>)` `rstudent(<rma.mh>)` `rstudent(<rma.peto>)` `rstudent(<rma.mv>)`	Residual Values based on 'rma' Objects
`influence(<rma.uni>)` `print(<infl.rma.uni>)` `cooks.distance(<rma.uni>)` `dfbetas(<rma.uni>)` `hatvalues(<rma.uni>)`	Model Diagnostics for 'rma.uni' Objects
`cooks.distance(<rma.mv>)` `dfbetas(<rma.mv>)` `hatvalues(<rma.mv>)`	Model Diagnostics for 'rma.mv' Objects
`weights(<rma.uni>)` `weights(<rma.mh>)` `weights(<rma.peto>)` `weights(<rma.glmm>)` `weights(<rma.mv>)`	Compute Weights for 'rma' Objects
`leave1out()`	Leave-One-Out Diagnostics for 'rma' Objects
`vif()` `print(<vif.rma>)`	Variance Inflation Factors for 'rma' Objects
Print Methods Print methods.
`print(<rma.uni>)` `print(<rma.mh>)` `print(<rma.peto>)` `print(<rma.glmm>)` `print(<rma.mv>)` `summary(<rma>)` `print(<summary.rma>)`	Print and Summary Methods for 'rma' Objects
`print(<escalc>)` `summary(<escalc>)`	Print and Summary Methods for 'escalc' Objects
`print(<anova.rma>)` `print(<list.anova.rma>)`	Print Methods for 'anova.rma' and 'list.anova.rma' Objects
`print(<confint.rma>)` `print(<list.confint.rma>)`	Print Methods for 'confint.rma' and 'list.confint.rma' Objects
`print(<fsn>)`	Print Method for 'fsn' Objects
`print(<gosh.rma>)`	Print Method for 'gosh.rma' Objects
`print(<hc.rma.uni>)`	Print Method for 'hc.rma.uni' Objects
`print(<list.rma>)`	Print Method for 'list.rma' Objects
`print(<permutest.rma.uni>)`	Print Method for 'permutest.rma.uni' Objects
`print(<ranktest>)`	Print Method for 'ranktest' Objects
`print(<regtest>)`	Print Method for 'regtest' Objects
`print(<matreg>)` `summary(<matreg>)` `print(<summary.matreg>)`	Print and Summary Methods for 'matreg' Objects
`print(<deltamethod>)`	Print Method for 'deltamethod' Objects
Extractor Functions Functions to extract various elements from model objects.
`coef(<rma>)` `coef(<summary.rma>)`	Extract the Model Coefficients and Coefficient Table from 'rma' and 'summary.rma' Objects
`coef(<permutest.rma.uni>)`	Extract the Model Coefficient Table from 'permutest.rma.uni' Objects
`vcov(<rma>)`	Extract Various Types of Variance-Covariance Matrices from 'rma' Objects
`se()`	Extract the Standard Errors from 'rma' Objects
`model.matrix(<rma>)`	Extract the Model Matrix from 'rma' Objects
`formula(<rma>)`	Extract the Model Formula from 'rma' Objects
`coef(<matreg>)` `vcov(<matreg>)`	Extract the Model Coefficients and Variance-Covariance Matrix from 'matreg' Objects
`coef(<deltamethod>)` `vcov(<deltamethod>)`	Extract the Estimates and Variance-Covariance Matrix from 'deltamethod' Objects
Convenience Functions Miscellaneous convenience functions.
`getmfopt()` `setmfopt()`	Getting and Setting Package Options
`bldiag()`	Construct Block Diagonal Matrix
`blsplit()`	Split Block Diagonal Matrix
`dfround()`	Round Variables in a Data Frame
`replmiss()`	Replace Missing Values in a Vector
`to.long()`	Convert Data from Vector to Long Format
`to.wide()`	Convert Data from a Long to a Wide Format
`to.table()`	Convert Data from Vector to Table Format
`contrmat()`	Construct Contrast Matrix for Two-Group Comparisons
`reporter()`	Dynamically Generated Analysis Reports for 'rma.uni' Objects
`matreg()`	Fit Regression Models based on a Correlation and Covariance Matrix
`vec2mat()`	Convert a Vector into a Square Matrix
`deltamethod()`	Apply the (Multivariate) Delta Method
`aggregate(<escalc>)`	Aggregate Multiple Effect Sizes or Outcomes Within Studies
`metafor.news()`	Read News File of the Metafor Package
`transf.rtoz()` `transf.ztor()` `transf.logit()` `transf.ilogit()` `transf.arcsin()` `transf.iarcsin()` `transf.pft()` `transf.ipft()` `transf.ipft.hm()` `transf.isqrt()` `transf.irft()` `transf.iirft()` `transf.ahw()` `transf.iahw()` `transf.abt()` `transf.iabt()` `transf.r2toz()` `transf.ztor2()` `transf.ztor.int()` `transf.exp.int()` `transf.ilogit.int()` `transf.ztor.mode()` `transf.exp.mode()` `transf.ilogit.mode()` `transf.dtou1()` `transf.dtou2()` `transf.dtou3()` `transf.dtoovl()` `transf.dtocles()` `transf.dtocliffd()` `transf.dtobesd()` `transf.dtomd()` `transf.dtorpb()` `transf.dtorbis()` `transf.rpbtorbis()` `transf.rtorpb()` `transf.rtod()` `transf.rpbtod()` `transf.lnortord()` `transf.lnortorr()` `transf.lnortod.norm()` `transf.lnortod.logis()` `transf.dtolnor.norm()` `transf.dtolnor.logis()` `transf.lnortortet.pearson()` `transf.lnortortet.digby()`	Transformation Functions
`fmtp()` `fmtp2()` `fmtx()` `fmtt()`	Formatter Functions
`emmprep()`	Create a Reference Grid for the 'emmeans' Function
`pairmat()`	Construct a Pairwise Contrast Matrix for 'rma' Objects
Other Methods Other method functions.
`[`(<escalc>) `$<-`(<escalc>) `cbind(<escalc>)` `rbind(<escalc>)`	Methods for 'escalc' Objects
`as.data.frame(<list.rma>)` `as.matrix(<list.rma>)` `[`(<list.rma>) `head(<list.rma>)` `tail(<list.rma>)` `$<-`(<list.rma>)	Methods for 'list.rma' Objects
`as.data.frame(<confint.rma>)` `as.data.frame(<list.confint.rma>)`	Methods for 'confint.rma' Objects
`as.data.frame(<anova.rma>)` `as.data.frame(<list.anova.rma>)`	Methods for 'anova.rma' Objects
`as.data.frame(<vif.rma>)`	Methods for 'vif.rma' Objects
Miscellaneous Documentation Miscellaneous documentation on models, recommendations, and options.
`misc-models` `misc_models`	Fixed-Effects and Random-Effects Models in Meta-Analysis
`misc-recs` `misc_recs`	Some Recommended Practices
`misc-options` `misc_options`	Miscellaneous Options and Features

Reference

Package Introduction

Effect Sizes / Outcome Measures / Data Prep

Model Fitting

Plots / Figures

Publication Bias

Inference Methods

Model Diagnostics

Print Methods

Extractor Functions

Convenience Functions

Other Methods

Miscellaneous Documentation