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robumeta: Robust Variance Meta-Regression

Functions for conducting robust variance estimation (RVE) meta-regression using both large and small sample RVE estimators under various weighting schemes. These methods are distribution free and provide valid point estimates, standard errors and hypothesis tests even when the degree and structure of dependence between effect sizes is unknown. Also included are functions for conducting sensitivity analyses under correlated effects weighting and producing RVE-based forest plots.

Version: 2.1
Suggests: clubSandwich, R.rsp
Published: 2023-03-28
DOI: 10.32614/CRAN.package.robumeta
Author: Zachary Fisher [aut, cre], Elizabeth Tipton [aut], Hou Zhipeng [aut]
Maintainer: Zachary Fisher <fish.zachary at gmail.com>
BugReports: https://github.com/zackfisher/robumeta/issues
License: GPL-2
URL: https://github.com/zackfisher/robumeta
NeedsCompilation: no
In views: MetaAnalysis, Robust
CRAN checks: robumeta results

Documentation:

Reference manual: robumeta.pdf
Vignettes: robumeta Vignette

Downloads:

Package source: robumeta_2.1.tar.gz
Windows binaries: r-devel: robumeta_2.1.zip, r-release: robumeta_2.1.zip, r-oldrel: robumeta_2.1.zip
macOS binaries: r-release (arm64): robumeta_2.1.tgz, r-oldrel (arm64): robumeta_2.1.tgz, r-release (x86_64): robumeta_2.1.tgz, r-oldrel (x86_64): robumeta_2.1.tgz
Old sources: robumeta archive

Reverse dependencies:

Reverse imports: MAGMA.R, multibiasmeta, PublicationBias, wildmeta
Reverse suggests: clubSandwich, metabias

Linking:

Please use the canonical form https://CRAN.R-project.org/package=robumeta 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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