Package: metaplus 1.0-10

metaplus: Robust Meta-Analysis and Meta-Regression

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 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).

Authors:Ken Beath [aut, cre], Ben Bolker [ctb], R Development Core Team [ctb]

metaplus_1.0-10.tar.gz
metaplus_1.0-10.zip(r-4.7-any)metaplus_1.0-10.zip(r-4.6-any)metaplus_1.0-10.zip(r-4.5-any)
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
metaplus/json (API)

# Install 'metaplus' in R:

install.packages('metaplus', repos = c('https://kjbeath.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

cdp - CDP meta-analysis data
exercise - Exercise meta-analysis data
mag - Magnesium meta-analysis data
marinho - Marinho meta-analysis data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.21 score 74 scripts 2.7k downloads 4 mentions 6 exports 27 dependencies

Last updated from:0145986118. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	172
source / vignettes	OK	232
linux-release	OK	166
macos-release	OK	126
macos-oldrel	OK	137
windows-devel	OK	107
windows-release	OK	107
windows-oldrel	OK	129
wasm-release	OK	112

Exports:metaplus outlierProbs outlierProbsMeta summary.metaplus testOutliers testOutliersMeta

Dependencies:bbmle bdsmatrix boot digest fastGHQuad lattice lme4 MASS mathjaxr Matrix metadat metafor minqa mvtnorm nlme nloptr numDeriv pbapply rbibutils Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack reformulas Rfast zigg

metaplus: An R Package for the Analysis of Robust Meta-Analysis and Meta-Regression

Rendered frommetaplus-package.html.asisusingR.rsp::asis

Last update: 2026-10-04
Started: 2026-10-04

Help page	Topics
Fits random effects meta-analysis models including robust models	metaplus-package
AIC for metaplus object	AIC.metaplus
BIC for metaplus object	BIC.metaplus
CDP meta-analysis data	cdp
Exercise meta-analysis data	exercise
log Likelikelihood for metaplus object	logLik.metaplus
Magnesium meta-analysis data	mag
Marinho meta-analysis data	marinho
Fits random effects meta-analysis models, using either a standard normal distribution, a t-distribution or a mixture of normals for the random effect.	metaplus
Calculate outlier probabilities for each study.	outlierProbs outlierProbs.metaplus
Calculate outlier probabilities for each study.	outlierProbsMeta outlierProbsMeta.metaplus
Produces forest plot for the studies together with the meta-analysis results.	plot.metaplus
Plot outlier probabilities.	plot.outlierProbs
Plot outlier probabilities.	plot.outlierProbsMeta
Summary of a metaplus object.	summary.metaplus
Tests for the presence of outliers.	testOutliers testOutliers.metaplus
Tests for the presence of outliers.	testOutliersMeta testOutliersMeta.metaplus

Package: metaplus 1.0-10

metaplus: Robust Meta-Analysis and Meta-Regression

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)