Meta-Analysis Package for R
Replace Missing Values in a Vector
Dynamically Generated Analysis Reports for 'rma.uni' Objects
Residual Values based on 'rma' Objects
Meta-Analysis via Generalized Linear (Mixed-Effects) Models
Meta-Analysis via the Mantel-Haenszel Method
Meta-Analysis via Multivariate/Multilevel Linear (Mixed-Effects) Model...
Meta-Analysis via Peto's Method
Meta-Analysis via Linear (Mixed-Effects) Models
Cluster-Robust Tests and Confidence Intervals for 'rma' Objects
Selection Models
Regression Test for Funnel Plot Asymmetry
Extract the Model Coefficient Table from 'permutest.rma.uni' Objects
Extract the Model Coefficients and Coefficient Table from 'rma' and 's...
Confidence Intervals for 'rma' Objects
Best Linear Unbiased Predictions for 'rma.uni' Objects
Formatter Functions
Add Polygons to Forest Plots (Default Method)
Add Polygons to Forest Plots (Method for 'predict.rma' Objects)
Add Polygons to Forest Plots
Add Polygons to Forest Plots (Method for 'rma' Objects)
Aggregate Multiple Effect Sizes or Outcomes Within Studies
Likelihood Ratio and Wald-Type Tests for 'rma' Objects
Baujat Plots for 'rma' Objects
Construct Block Diagonal Matrix
Split Block Diagonal Matrix
Construct Contrast Matrix for Two-Group Comparisons
Reconstruct Cell Frequencies of Tables
Transform Observed Effect Sizes or Outcomes and their Sampling Varianc...
Estimate Means and Standard Deviations from Five-Number Summary Values
Convert Wald-Type Confidence Intervals and Tests to Sampling Variances
Cumulative Meta-Analysis for 'rma' Objects
Print Method for 'list.rma' Objects
Round Variables in a Data Frame
Create a Reference Grid for the 'emmeans' Function
Calculate Effect Sizes and Outcome Measures
Fit Statistics and Information Criteria for 'rma' Objects
Fitted Values for 'rma' Objects
Forest Plots (Method for 'cumul.rma' Objects)
Forest Plots (Default Method)
Forest Plots
Forest Plots (Method for 'rma' Objects)
Extract the Model Formula from 'rma' Objects
Fail-Safe N Analysis (File Drawer Analysis)
Funnel Plots
GOSH Plots for 'rma' Objects
Meta-Analysis based on the Method by Henmi and Copas (2010)
Model Diagnostics for 'rma.mv' Objects
Model Diagnostics for 'rma.uni' Objects
L'Abbe Plots for 'rma' Objects
Leave-One-Out Diagnostics for 'rma' Objects
Plot of Likelihoods for Individual Studies
Fit Regression Models based on Correlation and Covariance Matrices
metafor: A Meta-Analysis Package for R
Read News File of the Metafor Package
Plot Method for 'rma' Objects
Methods for 'anova.rma' Objects
Methods for 'confint.rma' Objects
Methods for 'escalc' Objects
Methods for 'list.rma' Objects
Plot Method for 'plot.rma.uni.selmodel' Objects
Plot Method for 'vif.rma' Objects
Predicted Values for 'rma' Objects
Best Linear Unbiased Predictions for 'rma.uni' and 'rma.mv' Objects
Rank Correlation Test for Funnel Plot Asymmetry
Extract the Model Coefficients and Variance-Covariance Matrix from 'ma...
Methods for 'vif.rma' Objects
Getting and Setting Package Options
Fixed-Effects and Random-Effects Models in Meta-Analysis
Miscellaneous Options and Features
Some Recommended Practices
Extract the Model Matrix from 'rma' Objects
Permutation Tests for 'rma.uni' Objects
Plot Method for 'cumul.rma' Objects
Plot Method for 'gosh.rma' Objects
Plot Method for 'infl.rma.uni' Objects
Plot Method for 'permutest.rma.uni' Objects
Calculate the Variance-Covariance of Dependent Correlation Coefficient...
Print Methods for 'anova.rma' and 'list.anova.rma' Objects
Print Methods for 'confint.rma' and 'list.confint.rma' Objects
Print and Summary Methods for 'escalc' Objects
Print Method for 'fsn' Objects
Print Method for 'gosh.rma' Objects
Print Method for 'hc.rma.uni' Objects
Scatter Plots / Bubble Plots
Print and Summary Methods for 'matreg' Objects
Print Method for 'permutest.rma.uni' Objects
Print Method for 'ranktest' Objects
Print Method for 'regtest' Objects
Print and Summary Methods for 'rma' Objects
Profile Likelihood Plots for 'rma' Objects
Normal QQ Plots for 'rma' Objects
Radial (Galbraith) Plots for 'rma' Objects
Simulate Method for 'rma' Objects
Test of Excess Significance
Convert Data from Vector to Long Format
Convert Data from Vector to Table Format
Convert Data from a Long to a Wide Format
Transformation Functions
Trim and Fill Analysis for 'rma.uni' Objects
Model Updating for 'rma' Objects
Construct or Approximate the Variance-Covariance Matrix of Dependent E...
Extract Various Types of Variance-Covariance Matrices from 'rma' Objec...
Convert a Vector into a Square Matrix
Variance Inflation Factors for 'rma' Objects
Compute Weights for 'rma' Objects
A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit equal-, fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe, Baujat, bubble, and GOSH plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto's method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted. An introduction to the package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>.