GitHub - gabriellajg/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 Monte Carlo 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 likelihoods, so installation of R package 'metafor' is required. This approach refers to the studies of Anscombe (1956) doi:10.2307/2332926, Haldane (1940) doi:10.2307/2332614, Hedges (1981) doi:10.3102/10769986006002107, Hedges & Olkin (1985, ISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler (2004) doi:10.1002/14651858.CD000146.pub2, Viechtbauer (2010) doi:10.18637/jss.v036.i03, and Zuckerman (1994, ISBN:978-0521432009). (original) (raw)

boot.heterogeneity

Travis build status

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.

Installation

You can install the released version of boot.heterogeneity fromCRAN with:

install.packages("boot.heterogeneity")

And the development version fromGitHub 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 usingforce installation and try again.