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effClust (version 0.8.0)

Calculate Effective Number of Clusters for a Linear Model

Description

Calculates the (approximate) effective number of clusters for a regression model, as described in Carter, Schnepel, and Steigerwald (2017) . 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.

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Install

install.packages('effClust')

Monthly Downloads

190

Version

0.8.0

License

MIT + file LICENSE

Maintainer

Joe Ritter

Last Published

March 6th, 2024

Functions in effClust (0.8.0)

effClust.default

Compute Approximate Effective Number of Clusters for Regression Coefficients