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: Bonett (2008) <doi:10.1037/a0012868>, Bonett (2009) <doi:10.1037/a0016619>, Bonett (2010) <doi:10.1037/a0020142>, Bonett & Price (2014) <doi:10.1111/bmsp.12024>, Bonett & Price (2015) <doi:10.1111/bmsp.12024>, Bonett (2020) <doi:10.1111/bmsp.12189>, Bonett (2021) <doi:10.1177/1094428120911088>.

Version: 1.0.0
Imports: stats, mathjaxr, Rdpack, ggplot2
Suggests: testthat (≥ 3.0.0)
Published: 2021-08-21
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
CRAN checks: vcmeta results

Downloads:

Reference manual: vcmeta.pdf
Package source: vcmeta_1.0.0.tar.gz
Windows binaries: r-devel: vcmeta_1.0.0.zip, r-release: vcmeta_1.0.0.zip, r-oldrel: vcmeta_1.0.0.zip
macOS binaries: r-release (arm64): vcmeta_1.0.0.tgz, r-release (x86_64): vcmeta_1.0.0.tgz, r-oldrel: vcmeta_1.0.0.tgz

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