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crwbmetareg  

Cluster Robust Wild Bootstrap Meta Regression
View on CRAN: Click here


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]
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. Accessed 15 May. 2025.
Previous versions and publish date:
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Complete documentation for crwbmetareg
Functions, R codes and Examples using the crwbmetareg R package
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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