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wildmeta: Cluster Wild Bootstrapping for Meta-Analysis

Conducts single coefficient tests and multiple-contrast hypothesis tests of meta-regression models using cluster wild bootstrapping, based on methods examined in Joshi, Pustejovsky, and Beretvas (2022) <doi:10.1002/jrsm.1554>.

Version: 0.3.2
Depends: R (≥ 3.5.0)
Imports: clubSandwich (≥ 0.5.4), sandwich, robumeta, metafor, stats
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2, covr, mockery, future, future.apply, parallelly
Published: 2023-03-08
DOI: 10.32614/CRAN.package.wildmeta
Author: Megha Joshi ORCID iD [aut, cre], James Pustejovsky ORCID iD [aut], Pierce Cappelli ORCID iD [aut]
Maintainer: Megha Joshi <megha.j456 at gmail.com>
BugReports: https://github.com/meghapsimatrix/wildmeta/issues
License: GPL-3
URL: https://meghapsimatrix.github.io/wildmeta/index.html
NeedsCompilation: no
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: wildmeta results

Documentation:

Reference manual: wildmeta.pdf
Vignettes: Cluster Wild Bootstrapping for Meta-Analysis

Downloads:

Package source: wildmeta_0.3.2.tar.gz
Windows binaries: r-devel: wildmeta_0.3.2.zip, r-release: wildmeta_0.3.2.zip, r-oldrel: wildmeta_0.3.2.zip
macOS binaries: r-release (arm64): wildmeta_0.3.2.tgz, r-oldrel (arm64): wildmeta_0.3.2.tgz, r-release (x86_64): wildmeta_0.3.2.tgz, r-oldrel (x86_64): wildmeta_0.3.2.tgz
Old sources: wildmeta archive

Reverse dependencies:

Reverse suggests: metafor

Linking:

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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.