Package: crwbmetareg 1.0

Michail Tsagris

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>.

Authors:Michail Tsagris [aut, cre]

crwbmetareg_1.0.tar.gz
crwbmetareg_1.0.tar.gz(r-4.5-noble)crwbmetareg_1.0.tar.gz(r-4.4-noble)
crwbmetareg_1.0.tgz(r-4.4-emscripten)crwbmetareg_1.0.tgz(r-4.3-emscripten)
crwbmetareg.pdf |crwbmetareg.html
crwbmetareg/json (API)

# Install 'crwbmetareg' in R:
install.packages('crwbmetareg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 206 downloads 4 exports 12 dependencies

Last updated 1 years agofrom:af4caf5c3c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-linuxOKDec 12 2024

Exports:colwlsmetacrwbmetaregfatpetwlsmeta

Dependencies:latticelmtestRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRfast2Rnanoflannsandwichzoo