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crwbmetareg
View on CRAN: Click
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Download and install crwbmetareg package within the R console
Install from CRAN:
install.packages("crwbmetareg")
Install from Github:
library("remotes")
install_github("cran/crwbmetareg")
Install by package version:
library("remotes")
install_version("crwbmetareg", "1.0")
Attach the package and use:
library("crwbmetareg")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-19
Latest Update: 2023-10-19
Description:
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. 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. .
How to cite:
Michail Tsagris (2023). crwbmetareg: Cluster Robust Wild Bootstrap Meta Regression. R package version 1.0, https://cran.r-project.org/web/packages/crwbmetareg
Previous versions and publish date:
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Functions, R codes and Examples using
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Some associated functions: colwslmeta . crwbmetareg-package . crwbmetareg . fatpet . wlsmeta .
Some associated R codes: colwsmeta.R . crwbmetareg.R . fatpet.R . wlsmeta.R . Full crwbmetareg package functions and examples
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