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, r-oldrel (x86_64): metaplus_1.0-4.tgz
Old sources:	metaplus archive

Reverse dependencies:

Reverse suggests:

ggstatsplot, insight, statsExpressions

Linking:

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