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glmx: Generalized Linear Models Extended

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

Version: 0.2-0
Depends: R (≥ 3.0.0)
Imports: stats, MASS, Formula, lmtest, sandwich
Suggests: AER, gld, numDeriv, pscl
Published: 2023-03-27
Author: Achim Zeileis ORCID iD [aut, cre], Roger Koenker ORCID iD [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_0.2-0.tar.gz
Windows binaries: r-devel: glmx_0.2-0.zip, r-release: glmx_0.2-0.zip, r-oldrel: glmx_0.2-0.zip
macOS binaries: r-release (arm64): glmx_0.2-0.tgz, r-oldrel (arm64): glmx_0.2-0.tgz, r-release (x86_64): glmx_0.2-0.tgz, r-oldrel (x86_64): glmx_0.2-0.tgz
Old sources: glmx archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=glmx to link to this page.

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.
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