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glmx  

Generalized Linear Models Extended
View on CRAN: Click here


Download and install glmx package within the R console
Install from CRAN:
install.packages("glmx")

Install from Github:
library("remotes")
install_github("cran/glmx")

Install by package version:
library("remotes")
install_version("glmx", "0.2-1")



Attach the package and use:
library("glmx")
Maintained by
Achim Zeileis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-10
Latest Update: 2024-09-04
Description:
Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroscedastic latent variables.
How to cite:
Achim Zeileis (2013). glmx: Generalized Linear Models Extended. R package version 0.2-1, https://cran.r-project.org/web/packages/glmx. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-11 01:30), 0.1-0 (2013-12-10 13:11), 0.1-1 (2015-11-19 13:13), 0.1-3 (2022-04-19 14:12), 0.2-0 (2023-03-27 10:10), 0.2-1 (2024-09-04 02:10), 0.2-2 (2026-06-12 09:10)
Other packages that cited glmx R package
View glmx citation profile
Other R packages that glmx depends, imports, suggests or enhances
Complete documentation for glmx
Functions, R codes and Examples using the glmx R package
Some associated functions: AbortionAmbivalence . BeetleMortality . MexicanLabor . WECO . glmx.control . glmx . hetglm.control . hetglm . plinks . pregibon . 
Some associated R codes: glmx.R . hetglm.R . plinks.R . pregibon.R .  Full glmx package functions and examples
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