General Package for Meta-Analysis
Additional functions for objects of class meta
Produce weighted bar plot of risk of bias assessment
Baujat plot to explore heterogeneity in meta-analysis
Calculate best linear unbiased predictor for meta object
Bubble plot to display the result of a meta-regression
Calculation of confidence intervals (based on normal approximation or ...
Drapery plot
Extract results from meta-analysis object
Forest plot to display the result of a meta-analysis
Forest plot to display the result of a meta-analysis
Funnel plot
Get default for a meta-analysis setting.
Create study labels in JAMA layout (deprecated function)
L'Abbé plot for meta-analysis with binary outcomes
Create study labels for forest plot
Transform data from pairwise comparisons to long arm-based format
Description of R object of class "meta"
meta: Brief overview of methods and general hints
Description of summary measures available in R package meta
Auxiliary functions for (back) transformations
Add pooled results from external analysis to meta-analysis
Test for funnel plot asymmetry
Cochrane review: Test for funnel plot asymmetry
Meta-analysis of binary outcome data
Combine and summarize meta-analysis objects
Meta-analysis of continuous outcome data
Meta-analysis of correlations
Meta-analysis of outcome data from Cochrane review
Cumulative meta-analysis
Generic inverse variance meta-analysis
Meta-analysis of incidence rates
Influence analysis in meta-analysis using leave-one-out method
Meta-analysis of single means
Merge results of two meta-analyses on the same data set
Meta-analysis of single proportions
Meta-analysis of single incidence rates
Meta-regression
Calculate the number needed to treat (NNT)
Conversion from log odds ratio to standardised mean difference
Transform meta-analysis data from two arm-based formats into contrast-...
Print meta-analysis results
Cochrane review: summary of meta-analyses
Print detailed meta-analysis results
Radial plot
Import data of Cochrane intervention review
Import RevMan 4 data files (.mtv)
Import RevMan 5 analysis data
Risk of bias assessment
Print and change default meta-analysis settings in R package meta
Conversion from standardised mean difference to log odds ratio
Return subset of longarm object
Return subset of pairwise object
Summary of meta-analysis results
Cochrane review: detailed summary of meta-analyses
Produce traffic light plot of risk of bias assessment
Trim-and-fill method to adjust for bias in meta-analysis
Cochrane review: trim-and-fill method
Update a meta-analysis object
Calculate absolute and percentage weights for meta-analysis
User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - common effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - three-level meta-analysis model; - generalised linear mixed model; - Hartung-Knapp method for random effects model; - Kenward-Roger method for random effects model; - prediction interval; - statistical tests for funnel plot asymmetry; - trim-and-fill method to evaluate bias in meta-analysis; - meta-regression; - cumulative meta-analysis and leave-one-out meta-analysis; - import data from 'RevMan 5'; - produce forest plot summarising several (subgroup) meta-analyses.