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>).

Version: 1.0-4
Depends: R (≥ 3.2.0)
Imports: bbmle, metafor, boot, methods, numDeriv, MASS, graphics, stats, fastGHQuad, lme4, Rfast, parallel, doParallel, foreach, doRNG
Suggests: R.rsp
Published: 2022-05-13
Author: Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut]
Maintainer: Ken Beath <ken at kjbeath.com.au>
Contact: Ken Beath <ken@kjbeath.com.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: metaplus citation info
Materials: NEWS
In views: MetaAnalysis, Robust
CRAN checks: metaplus results

Documentation:

Reference manual: metaplus.pdf
Vignettes: metaplus: An R Package for the Analysis of Robust Meta-Analysis and Meta-Regression

Downloads:

Package source: metaplus_1.0-4.tar.gz
Windows binaries: r-devel: metaplus_1.0-4.zip, r-release: metaplus_1.0-4.zip, r-oldrel: metaplus_1.0-4.zip
macOS binaries: r-release (arm64): metaplus_1.0-4.tgz, r-oldrel (arm64): metaplus_1.0-4.tgz, r-release (x86_64): metaplus_1.0-4.tgz
Old sources: metaplus archive

Reverse dependencies:

Reverse suggests: ggstatsplot, insight, statsExpressions

Linking:

Please use the canonical form https://CRAN.R-project.org/package=metaplus to link to this page.