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Generalized Linear Models Extended in R

Overview

The R package glmx provides:

  • Estimation of generalized linear models with extra parameters via glmx, e.g., parametric links, or families with additional parameters (such as negative binomial).

  • Estimation of heteroscedastic binary response models via hetglm using maximum likelihood.

  • Density dpregibon, distribution function ppregibon, quantile function qpregibon, and random generation rpregibon for the Pregibon distribution.

  • Various symmetric and asymmetric parametric links for use as link function for binomial generalized linear models, including gosset, pregibon, loglog, nblogit, angular, among others.

Installation

The stable version of glmx is available on CRAN:

install.packages("glmx")

The latest development version can be installed from R-universe:

install.packages("glmx", repos = "https://zeileis.R-universe.dev")

License

The package is available under the General Public License version 3 or version 2

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Version

Install

install.packages('glmx')

Monthly Downloads

5,131

Version

0.2-2

License

GPL-2 | GPL-3

Maintainer

Achim Zeileis

Last Published

June 12th, 2026

Functions in glmx (0.2-2)

glmx.control

Control Parameters for GLMs with Extra Parameters
hetglm.control

Control Parameters for Heteroscedastic Binary Response GLMs
hetglm

Heteroscedastic Binary Response GLMs
MexicanLabor

Mexican Women's Labor-Force Participation
WECO

Productivity and Quit Behavior of Western Electric Workers
BeetleMortality

Bliss (1935) Beetle Mortality Data
AbortionAmbivalence

American Ambivalence towards Abortion Policy
pregibon

Pregibon Distribution
glmx

Generalized Linear Models with Extra Parameters
plinks

Parametric Links for Binomial Generalized Linear Models