The package boot.heterogeneity implements a Bootstrap-Based Heterogeneity Test for standardized mean differences (d), Fisher-transformed Pearson’s correlations (r), and natural-logarithm-transformed odds ratio (OR) in Meta-Analysis Studies.
Depending on the presence of moderators, this Bootstrap-Based Test can be implemented in the random or mixed-effects model. This package uses rma() function from the R package metafor to obtain parameter estimates and likelihood, so installation of R package metafor is required.
You can install the released version of boot.heterogeneity from CRAN with:
install.packages("boot.heterogeneity")And the development version from GitHub with:
# install.packages("devtools")
# library(devtools)
devtools::install_github("gabriellajg/boot.heterogeneity")If you have already installed this package locally, you need to override
the previous version with force installation:
devtools::install_github("gabriellajg/boot.heterogeneity", force = TRUE)Updates to this package will always be pushed to Github first. If you
encounter any errors, please re-install the package from github using
force installation and try again.