S original <http://statwww.epfl.ch/davison/BMA/library.html>
by Angelo Canty <cantya@mcmaster.ca>.
R port and many enhancements by Brian Ripley <ripley@stats.ox.ac.uk>.

S original <http://statwww.epfl.ch/davison/BMA/library.html> by
Angelo Canty <cantya@mcmaster.ca>.  R port and many
enhancements by Brian Ripley <ripley@stats.ox.ac.uk>.

A Bootstrap-Based Heterogeneity Test for Meta-Analysis
c(person("Ge", "Jiang", role = c("aut", "cre"),
email = "gejiang2@illinois.edu"),
person("Han", "Du", role = "aut", email = "hdu@psych.ucla.edu"),
person("Zijun", "Ke", role = "ctb", email = "keziyun@mail.sysu.edu.cn"))
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).
base, HSAUR2, roxygen2, parallel, knitr, rmarkdown,
mc.heterogeneity, testthat
Ge Jiang [aut, cre],
Han Du [aut],
Zijun Ke [ctb]

base, HSAUR3, roxygen2, parallel, knitr, rmarkdown, testthat

stats, metafor, utils, pbmcapply, HSAUR3, knitr, rmarkdown

person(given = "Måns",
family = "Thulin",
role = c("aut", "cre"),
email = "mans@statistikkonsult.com")
Computation of bootstrap p-values through inversion of confidence intervals, including convenience functions for regression models.
boot, Rdpack, car, stats, lme4, survival