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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:af4caf5c3c. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
Exports:colwlsmetacrwbmetaregfatpetwlsmeta
Dependencies:latticelmtestRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRfast2Rnanoflannsandwichzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cluster Robust Wild Bootstrap Meta Regression. | crwbmetareg-package |
| Column-wise weighted least squares meta analysis | colwlsmeta |
| FAT-PET test using cluster robust wild bootstrap | fatpet |
| Meta regression using cluster robust wild bootstrap | crwbmetareg |
| Weighted least squares meta analysis | wlsmeta |