vcmeta: Varying Coefficient Meta-Analysis

Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.

Version: 1.2.0
Imports: stats, mathjaxr, Rdpack, ggplot2
Suggests: testthat (≥ 3.0.0)
Published: 2023-06-29
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett at ucsc.edu>
BugReports: https://github.com/dgbonett/vcmeta/issues
License: GPL-3
URL: https://github.com/dgbonett/vcmeta
NeedsCompilation: no
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: vcmeta results

Documentation:

Reference manual: vcmeta.pdf

Downloads:

Package source: vcmeta_1.2.0.tar.gz
Windows binaries: r-devel: vcmeta_1.2.0.zip, r-release: vcmeta_1.2.0.zip, r-oldrel: vcmeta_1.2.0.zip
macOS binaries: r-release (arm64): vcmeta_1.2.0.tgz, r-oldrel (arm64): vcmeta_1.2.0.tgz, r-release (x86_64): vcmeta_1.2.0.tgz
Old sources: vcmeta archive

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