Package IntroductionIntroduction to the package. |
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metafor: A Meta-Analysis Package for R |
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Effect Sizes / Outcome Measures / Data PrepFunctions to compute various types of effect sizes / outcome measures and for data preparation. |
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Calculate Effect Sizes and Outcome Measures |
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Calculate the Variance-Covariance of Dependent Correlation Coefficients |
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Construct or Approximate the Variance-Covariance Matrix of Dependent Effect Sizes or Outcomes |
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Convert Wald-Type Confidence Intervals and Tests to Sampling Variances |
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Transform Observed Effect Sizes or Outcomes and their Sampling Variances using the Delta Method |
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Estimate Means and Standard Deviations from Five-Number Summary Values |
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Reconstruct Cell Frequencies of \(2 \times 2\) Tables |
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Model FittingMain model fitting functions. |
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Meta-Analysis via Linear (Mixed-Effects) Models |
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Meta-Analysis via the Mantel-Haenszel Method |
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Meta-Analysis via Peto's Method |
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Meta-Analysis via Generalized Linear (Mixed-Effects) Models |
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Meta-Analysis via Multivariate/Multilevel Linear (Mixed-Effects) Models |
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Plots / FiguresFunctions for creating various types of plots and figures. |
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Funnel Plots |
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Forest Plots |
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Forest Plots (Default Method) |
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Forest Plots (Method for 'rma' Objects) |
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Forest Plots (Method for 'cumul.rma' Objects) |
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Add Polygons to Forest Plots |
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Add Polygons to Forest Plots (Default Method) |
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Add Polygons to Forest Plots (Method for 'rma' Objects) |
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Add Polygons to Forest Plots (Method for 'predict.rma' Objects) |
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Scatter Plots / Bubble Plots |
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Baujat Plots for 'rma' Objects |
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L'Abbe Plots for 'rma' Objects |
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Radial (Galbraith) Plots for 'rma' Objects |
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Plot of Likelihoods for Individual Studies |
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GOSH Plots for 'rma' Objects |
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Plot Method for 'gosh.rma' Objects |
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Plot Method for 'permutest.rma.uni' Objects |
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Plot Method for 'rma' Objects |
Plot Method for 'cumul.rma' Objects |
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Plot Method for 'infl.rma.uni' Objects |
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Profile Likelihood Plots for 'rma' Objects |
Plot Method for 'plot.rma.uni.selmodel' Objects |
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Plot Method for 'vif.rma' Objects |
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Normal QQ Plots for 'rma' Objects |
Publication BiasFunctions for detecting, assessing the impact of, and correcting for publication bias (funnel plot asymmetry / small-study effects). |
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Regression Test for Funnel Plot Asymmetry |
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Rank Correlation Test for Funnel Plot Asymmetry |
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Trim and Fill Analysis for 'rma.uni' Objects |
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Selection Models |
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Meta-Analysis based on the Method by Henmi and Copas (2010) |
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Fail-Safe N Analysis (File Drawer Analysis) |
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Test of Excess Significance |
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Inference MethodsFunctions for drawing inferences based on meta-analytic models and for assessing the model fit. |
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Likelihood Ratio and Wald-Type Tests for 'rma' Objects |
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Confidence Intervals for 'rma' Objects |
Permutation Tests for 'rma.uni' Objects |
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Cluster-Robust Tests and Confidence Intervals for 'rma' Objects |
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Cumulative Meta-Analysis for 'rma' Objects |
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Fitted Values for 'rma' Objects |
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Predicted Values for 'rma' Objects |
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Best Linear Unbiased Predictions for 'rma.uni' and 'rma.mv' Objects |
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Best Linear Unbiased Predictions for 'rma.uni' Objects |
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Fit Statistics and Information Criteria for 'rma' Objects |
Simulate Method for 'rma' Objects |
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Model Updating for 'rma' Objects |
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Model DiagnosticsFunctions for identifying outliers / influential studies, sensitivity analyses, and checking for multicollinearity. |
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Residual Values based on 'rma' Objects |
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Model Diagnostics for 'rma.uni' Objects |
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Model Diagnostics for 'rma.mv' Objects |
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Compute Weights for 'rma' Objects |
Leave-One-Out Diagnostics for 'rma' Objects |
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Variance Inflation Factors for 'rma' Objects |
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Print MethodsPrint methods. |
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Print and Summary Methods for 'rma' Objects |
Print and Summary Methods for 'escalc' Objects |
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Print Methods for 'anova.rma' and 'list.anova.rma' Objects |
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Print Methods for 'confint.rma' and 'list.confint.rma' Objects |
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Print Method for 'fsn' Objects |
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Print Method for 'gosh.rma' Objects |
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Print Method for 'hc.rma.uni' Objects |
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Print Method for 'list.rma' Objects |
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Print Method for 'permutest.rma.uni' Objects |
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Print Method for 'ranktest' Objects |
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Print Method for 'regtest' Objects |
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Print and Summary Methods for 'matreg' Objects |
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Print Method for 'deltamethod' Objects |
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Extractor FunctionsFunctions to extract various elements from model objects. |
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Extract the Model Coefficients and Coefficient Table from 'rma' and 'summary.rma' Objects |
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Extract the Model Coefficient Table from 'permutest.rma.uni' Objects |
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Extract Various Types of Variance-Covariance Matrices from 'rma' Objects |
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Extract the Standard Errors from 'rma' Objects |
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Extract the Model Matrix from 'rma' Objects |
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Extract the Model Formula from 'rma' Objects |
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Extract the Model Coefficients and Variance-Covariance Matrix from 'matreg' Objects |
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Extract the Estimates and Variance-Covariance Matrix from 'deltamethod' Objects |
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Convenience FunctionsMiscellaneous convenience functions. |
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Getting and Setting Package Options |
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Construct Block Diagonal Matrix |
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Split Block Diagonal Matrix |
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Round Variables in a Data Frame |
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Replace Missing Values in a Vector |
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Convert Data from Vector to Long Format |
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Convert Data from a Long to a Wide Format |
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Convert Data from Vector to Table Format |
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Construct Contrast Matrix for Two-Group Comparisons |
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Dynamically Generated Analysis Reports for 'rma.uni' Objects |
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Fit Regression Models based on a Correlation and Covariance Matrix |
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Convert a Vector into a Square Matrix |
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Apply the (Multivariate) Delta Method |
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Aggregate Multiple Effect Sizes or Outcomes Within Studies |
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Read News File of the Metafor Package |
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Transformation Functions |
Formatter Functions |
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Create a Reference Grid for the 'emmeans' Function |
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Construct a Pairwise Contrast Matrix for 'rma' Objects |
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Other MethodsOther method functions. |
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Methods for 'escalc' Objects |
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Methods for 'list.rma' Objects |
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Methods for 'confint.rma' Objects |
Methods for 'anova.rma' Objects |
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Methods for 'vif.rma' Objects |
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Miscellaneous DocumentationMiscellaneous documentation on models, recommendations, and options. |
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Fixed-Effects and Random-Effects Models in Meta-Analysis |
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Some Recommended Practices |
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Miscellaneous Options and Features |