glmx: Generalized Linear Models Extended

Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroscedastic latent variables.

Version: 0.1-3
Depends: R (≥ 2.14.0)
Imports: stats, MASS, Formula, lmtest, sandwich
Suggests: AER, gld, numDeriv, pscl
Published: 2022-04-19
Author: Achim Zeileis ORCID iD [aut, cre], Roger Koenker [aut], Philipp Doebler ORCID iD [aut]
Maintainer: Achim Zeileis <Achim.Zeileis at R-project.org>
License: GPL-2 | GPL-3
NeedsCompilation: no
Materials: NEWS
In views: Econometrics
CRAN checks: glmx results

Documentation:

Reference manual: glmx.pdf

Downloads:

Package source: glmx_0.1-3.tar.gz
Windows binaries: r-devel: glmx_0.1-3.zip, r-release: glmx_0.1-3.zip, r-oldrel: glmx_0.1-3.zip
macOS binaries: r-release (arm64): glmx_0.1-3.tgz, r-oldrel (arm64): glmx_0.1-3.tgz, r-release (x86_64): glmx_0.1-3.tgz, r-oldrel (x86_64): glmx_0.1-3.tgz
Old sources: glmx archive

Reverse dependencies:

Reverse imports: pstest, Qtools
Reverse suggests: crch, ensemblepp, marginaleffects, oglmx
Reverse enhances: prediction, stargazer

Linking:

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