CR2: Compute Cluster Robust Standard Errors with Degrees of Freedom Adjustments

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) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ>. Functions used in Huang and Li <doi:10.3758/s13428-021-01627-0>, Huang, 'Wiedermann', and 'Zhang' <doi:10.1080/00273171.2022.2077290>, and Huang, 'Zhang', and Li (forthcoming: Journal of Research on Educational Effectiveness).

Version: 0.2.1
Depends: R (≥ 2.10)
Imports: stats, lme4, nlme, Matrix, methods, generics, magrittr, broom, dplyr, performance, tibble
Published: 2023-01-09
Author: Francis Huang ORCID iD [aut, cre], Bixi Zhang [aut]
Maintainer: Francis Huang <flhuang2000 at yahoo.com>
BugReports: https://github.com/flh3/CR2/issues
License: MIT + file LICENSE
URL: https://github.com/flh3/CR2
NeedsCompilation: no
Citation: CR2 citation info
Materials: README NEWS
CRAN checks: CR2 results

Documentation:

Reference manual: CR2.pdf

Downloads:

Package source: CR2_0.2.1.tar.gz
Windows binaries: r-devel: CR2_0.2.1.zip, r-release: CR2_0.2.1.zip, r-oldrel: CR2_0.2.1.zip
macOS binaries: r-release (arm64): CR2_0.2.1.tgz, r-oldrel (arm64): CR2_0.2.1.tgz, r-release (x86_64): CR2_0.2.1.tgz
Old sources: CR2 archive

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