effClust: Calculate Effective Number of Clusters for a Linear Model

Calculates the (approximate) effective number of clusters for a regression model, as described in Carter, Schnepel, and Steigerwald (2017) <doi:10.1162/REST_a_00639>. The effective number of clusters is a statistic to assess the reliability of asymptotic inference when sampling or treatment assignment is clustered. Methods are implemented for stats::lm(), plm::plm(), and fixest::feols(). There is also a formula method.

Version: 0.8.0
Depends: R (≥ 3.5.0)
Imports: fixest, stats
Suggests: plm, data.table
Published: 2024-03-06
DOI: 10.32614/CRAN.package.effClust
Author: Joe Ritter [aut, cre]
Maintainer: Joe Ritter <R-effclust at proton.me>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: effClust results


Reference manual: effClust.pdf


Package source: effClust_0.8.0.tar.gz
Windows binaries: r-devel: effClust_0.8.0.zip, r-release: effClust_0.8.0.zip, r-oldrel: effClust_0.8.0.zip
macOS binaries: r-release (arm64): effClust_0.8.0.tgz, r-oldrel (arm64): effClust_0.8.0.tgz, r-release (x86_64): effClust_0.8.0.tgz, r-oldrel (x86_64): effClust_0.8.0.tgz


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