meta8.0-1 package

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.

Maintainer: Guido Schwarzer License: GPL (>= 2) Last published: 2024-10-31