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: | 2.0 |
Suggests: | clubSandwich, R.rsp |
Published: | 2017-05-29 |
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 |
Reference manual: | robumeta.pdf |
Vignettes: |
robumeta Vignette |
Package source: | robumeta_2.0.tar.gz |
Windows binaries: | r-devel: robumeta_2.0.zip, r-release: robumeta_2.0.zip, r-oldrel: robumeta_2.0.zip |
macOS binaries: | r-release: robumeta_2.0.tgz, r-oldrel: robumeta_2.0.tgz |
Old sources: | robumeta archive |
Reverse imports: | PublicationBias |
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