Package: glmbayes
Type: Package
Title: Bayesian Generalized Linear Models (IID Samples)
Version: 0.9.6.9000
Date: 2026-06-21
Authors@R: c(
    person("Kjell", "Nygren", role = c("aut", "cre"),
           email = "kjell.a.nygren@gmail.com"),
    person("The R Core Team", role = c("ctb", "cph"),
           comment = "R Mathlib sources, R stats modeling code, and derived/adapted routines"),
    person("The R Foundation", role = "cph",
           comment = "Portions of R Mathlib and R source code"),
    person("Ross", "Ihaka", role = c("ctb", "cph"),
           comment = "R Mathlib and original R modeling infrastructure"),
    person("Robert", "Gentleman", role = c("ctb", "cph"),
           comment = "Portions of R Mathlib"),
    person("Simon", "Davies", role = "ctb",
           comment = "Original R glm implementation"),
    person("Morten", "Welinder", role = c("ctb", "cph"),
           comment = "Portions of R Mathlib"),
    person("Martin", "Maechler", role = "ctb",
           comment = "Portions of R Mathlib")
    )
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.
License: GPL-2
URL: https://CRAN.R-project.org/package=glmbayes,
        https://github.com/knygren/glmbayes,
        https://knygren.r-universe.dev/glmbayes
BugReports: https://github.com/knygren/glmbayes/issues
Imports: stats, coda, Rcpp (>= 1.1.1), RcppParallel, Rdpack (>=
        0.11-0), opencltools (>= 0.8.1), nmathopencl
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo, RcppParallel, opencltools
Depends: MASS, R (>= 3.5.0)
Suggests: knitr, rmarkdown, ggplot2, bayesrules, bayestestR,
        LearnBayes, testthat (>= 3.0.0), spelling
SystemRequirements: Optional OpenCL support. If available, GPU
        acceleration will be used; otherwise, computation runs on CPU.
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/testthat/edition: 3
LazyData: true
Language: en-US
Config/pak/sysreqs: make ocl-icd-opencl-dev
Repository: https://knygren.r-universe.dev
Date/Publication: 2026-06-22 06:20:22 UTC
RemoteUrl: https://github.com/knygren/glmbayes
RemoteRef: HEAD
RemoteSha: 8c0b459c0ea6f5f5e74b9cfd9fc7d169f426bac5
NeedsCompilation: yes
Packaged: 2026-06-24 09:38:04 UTC; root
Author: Kjell Nygren [aut, cre],
  The R Core Team [ctb, cph] (R Mathlib sources, R stats modeling code,
    and derived/adapted routines),
  The R Foundation [cph] (Portions of R Mathlib and R source code),
  Ross Ihaka [ctb, cph] (R Mathlib and original R modeling
    infrastructure),
  Robert Gentleman [ctb, cph] (Portions of R Mathlib),
  Simon Davies [ctb] (Original R glm implementation),
  Morten Welinder [ctb, cph] (Portions of R Mathlib),
  Martin Maechler [ctb] (Portions of R Mathlib)
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>