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glmbayes  

Bayesian Generalized Linear Models (IID Samples)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("glmbayes", "0.9.3")



Attach the package and use:
library("glmbayes")
Maintained by
Kjell Nygren
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-04
Latest Update: 2026-05-04
Description:
Provides Bayesian linear and generalized linear model fitting with independent and identically distributed (iid) posterior samples. The main functions mirror R's lm() and glm() interfaces while adding prior family specifications for Gaussian, Poisson, binomial, and Gamma models with log-concave likelihoods. Sampling for supported non-conjugate models uses accept-reject methods based on likelihood subgradients as in Nygren and Nygren (2006) <doi:10.1198/016214506000000357>. The package also includes tools for prior setup, posterior summaries, prediction, diagnostics, simulation, vignettes, and optional 'OpenCL' acceleration for larger models.
How to cite:
Kjell Nygren (2026). glmbayes: Bayesian Generalized Linear Models (IID Samples). R package version 0.9.3, https://cran.r-project.org/web/packages/glmbayes. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-31 07:52), 0.9.3 (2026-05-04 21:30), 0.9.5 (2026-05-18 08:00), 0.9.6 (2026-06-21 20:10), 0.9.7 (2026-07-19 16:20), 0.9.72 (2026-07-26 14:00)
Other packages that cited glmbayes R package
View glmbayes citation profile
Other R packages that glmbayes depends, imports, suggests or enhances
Complete documentation for glmbayes
Functions, R codes and Examples using the glmbayes R package
Full glmbayes package functions and examples
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