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
Author:	Joe Ritter [aut, cre]
Maintainer:	Joe Ritter <R-effclust at proton.me>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	effClust results

Documentation:

Reference manual:

effClust.pdf

Downloads:

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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