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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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.