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

Documentation

Manual: glmx.pdf
Vignette: None available.

Maintainer: Achim Zeileis <Achim.Zeileis at R-project.org>

Author(s): Achim Zeileis*, Roger Koenker*, Philipp Doebler*

Install package and any missing dependencies by running this line in your R console:

install.packages("glmx")

Depends R (>= 2.14.0)
Imports stats, MASS, Formula, lmtest, sandwich
Suggests AER, gld, numDeriv, pscl
Enhances
Linking to
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depends
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imports
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suggests
crch, ensemblepp, oglmx
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enhances
prediction, stargazer
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linking to

Package glmx
Materials
URL
Task Views Econometrics
Version 0.1-1
Published 2015-11-19
License GPL-2 | GPL-3
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks glmx check results
Package source glmx_0.1-1.tar.gz