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/>.

Getting started

Package details

AuthorDouglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
MaintainerDouglas G. Bonett <dgbonett@ucsc.edu>
LicenseGPL-3
Version1.4.0
URL https://github.com/dgbonett/vcmeta
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("vcmeta")

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vcmeta documentation built on July 4, 2024, 5:08 p.m.