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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
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:

Please use the canonical form https://CRAN.R-project.org/package=wildmeta to link to this page.

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.
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