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Software . 2020
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Software . 2020
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davidhuh/ClusterRobustSE: Calculating cluster-robust standard errors for generalized linear models in R

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Mar 2020Publisher:Zenodo
Authors: David Huh;

doi: 10.5281/zenodo.3695824 , 10.5281/zenodo.3695825

davidhuh/ClusterRobustSE: Calculating cluster-robust standard errors for generalized linear models in R

Abstract

A function in R that calculates cluster-robust standard error estimates for regression coefficients from generalized linear models. This function supports R's built-in glm function as well as the hurdle and zero-inflated count models from the pscl package.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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