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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.