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metaplus (version 1.0-6)

Robust Meta-Analysis and Meta-Regression

Description

Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 or Baker and Jackson, 2008 ) or mixtures of normals (Beath, 2014 ).

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Install

install.packages('metaplus')

Monthly Downloads

2,723

Version

1.0-6

License

GPL (>= 2)

Maintainer

Ken Beath

Last Published

January 23rd, 2025

Functions in metaplus (1.0-6)

logLik

log Likelikelihood for metaplus object
plot.outlierProbs

Plot outlier probabilities.
mag

Magnesium meta-analysis data
BIC

BIC for metaplus object
metaplus

Fits random effects meta-analysis models, using either a standard normal distribution, a \(t\)-distribution or a mixture of normals for the random effect.
outlierProbs

Calculate outlier probabilities for each study.
exercise

Exercise meta-analysis data
marinho

Marinho meta-analysis data
AIC

AIC for metaplus object
cdp

CDP meta-analysis data
metaplus-package

Fits random effects meta-analysis models including robust models
summary

Summary of a metaplus object.
testOutliers

Tests for the presence of outliers.
plot.metaplus

Produces forest plot for the studies together with the meta-analysis results.