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: 0.7-9
Depends: R (≥ 3.2.0)
Imports: bbmle, metafor, boot, methods, numDeriv, lme4, MASS, graphics, stats, fastGHQuad
Suggests: R.rsp
Published: 2016-11-10
Author: Ken Beath [aut, cre], Ben Bolker [aut], R Development Core Team [aut]
Maintainer: Ken Beath <ken.beath at mq.edu.au>
Contact: Ken Beath <ken.beath@mq.edu.au>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: metaplus citation info
Materials: NEWS
In views: MetaAnalysis
CRAN checks: metaplus results

Downloads:

Reference manual: metaplus.pdf
Vignettes: metaplus: An R Package for the Analysis of Robust Meta-Analysis and Meta-Regression
Package source: metaplus_0.7-9.tar.gz
Windows binaries: r-devel: metaplus_0.7-9.zip, r-release: metaplus_0.7-9.zip, r-oldrel: metaplus_0.7-9.zip
OS X Mavericks binaries: r-release: metaplus_0.7-9.tgz, r-oldrel: metaplus_0.7-9.tgz
Old sources: metaplus archive

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