crwbmetareg: Cluster Robust Wild Bootstrap Meta Regression

In meta regression sometimes the studies have multiple effects that are correlated. For this reason cluster robust standard errors must be computed. However, since the clusters are unbalanced the wild bootstrap is suggested. See Oczkowski E. and Doucouliagos H. (2015). "Wine prices and quality ratings: a meta-regression analysis". American Journal of Agricultural Economics, 97(1): 103–121. <doi:10.1093/ajae/aau057> and Cameron A. C., Gelbach J. B. and Miller D. L. (2008). "Bootstrap-based improvements for inference with clustered errors". The Review of Economics and Statistics, 90(3): 414–427. <doi:10.1162/rest.90.3.414>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: lmtest, Rfast2, sandwich, stats, utils
Suggests: clusterSEs
Published: 2023-10-19
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MetaAnalysis
CRAN checks: crwbmetareg results

Documentation:

Reference manual: crwbmetareg.pdf

Downloads:

Package source: crwbmetareg_1.0.tar.gz
Windows binaries: r-prerel: crwbmetareg_1.0.zip, r-release: crwbmetareg_1.0.zip, r-oldrel: crwbmetareg_1.0.zip
macOS binaries: r-prerel (arm64): crwbmetareg_1.0.tgz, r-release (arm64): crwbmetareg_1.0.tgz, r-oldrel (arm64): crwbmetareg_1.0.tgz, r-prerel (x86_64): crwbmetareg_1.0.tgz, r-release (x86_64): crwbmetareg_1.0.tgz

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