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CR2  

Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments
View on CRAN: Click here


Download and install CR2 package within the R console
Install from CRAN:
install.packages("CR2")

Install from Github:
library("remotes")
install_github("cran/CR2")

Install by package version:
library("remotes")
install_version("CR2", "0.2.1")



Attach the package and use:
library("CR2")
Maintained by
Francis Huang
[Scholar Profile | Author Map]
First Published: 2022-05-21
Latest Update: 2023-01-09
Description:
Estimate different types of cluster robust standard errors (CR0, CR1, CR2) with degrees of freedom adjustments. Standard errors are computed based on 'Liang and Zeger' (1986) and Bell and 'McCaffrey' . Functions used in Huang and Li , Huang, 'Wiedermann', and 'Zhang' , and Huang, 'Zhang', and Li (forthcoming: Journal of Research on Educational Effectiveness).
How to cite:
Francis Huang (2022). CR2: Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments. R package version 0.2.1, https://cran.r-project.org/web/packages/CR2. Accessed 06 May. 2025.
Previous versions and publish date:
0.1.0 (2022-05-21 17:30), 0.1.1 (2022-06-17 01:20)
Other packages that cited CR2 R package
View CR2 citation profile
Other R packages that CR2 depends, imports, suggests or enhances
Complete documentation for CR2
Functions, R codes and Examples using the CR2 R package
Some associated functions: MatSqrtInverse . clustSE . crct . getV . glance.CR2 . gpadat . ncvMLM . pipe . robust_mixed . satdf . sch25 . sharedat . tidy.CR2 . 
Some associated R codes: S3-methods.R . clustSE.R . crct.R . getV.R . globals.R . gpadat.R . ncvMLM.R . robust_mixed.R . satdf.R . sch25.R . sharedat.R . tidy_cr2.R . utils-pipe.R .  Full CR2 package functions and examples
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