Core C++ engine for 'glmbayes': envelope-based iid linear and
generalized linear model samplers, prior-family routing, and optional
'OpenCL' acceleration. Sampling for supported non-conjugate models uses
accept-reject methods based on likelihood subgradients as in Nygren and
Nygren (2006) <doi:10.1198/016214506000000357>. Intended as a developer
backend for the 'glmbayes' formula interface; end users should use
'glmbayes' for modelling with interfaces analogous to 'lm' and 'glm'.
Mixed-model engines are planned for a future release.
| Version: |
0.5.3 |
| Depends: |
MASS, R (≥ 3.5.0) |
| Imports: |
stats, Rcpp (≥ 1.1.1), RcppParallel, Rdpack (≥ 0.11-0), opencltools (≥ 0.8.1), nmathopencl |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppParallel, opencltools |
| Suggests: |
glmbayes, coda, bayesrules, bayestestR, LearnBayes, testthat (≥ 3.0.0), spelling, knitr, rmarkdown |
| Published: |
2026-08-05 |
| DOI: |
10.32614/CRAN.package.glmbayesCore (may not be active yet) |
| 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),
The Khronos Group Inc [cph] (OpenCL API headers in inst/include/CL
(Apache License 2.0)) |
| Maintainer: |
Kjell Nygren <kjell.a.nygren at gmail.com> |
| BugReports: |
https://github.com/knygren/glmbayesCore/issues |
| License: |
GPL-2 |
| Copyright: |
see file COPYRIGHTS |
| URL: |
https://github.com/knygren/glmbayesCore |
| NeedsCompilation: |
yes |
| SystemRequirements: |
Optional OpenCL support. If available, GPU
acceleration will be used; otherwise, computation runs on CPU. |
| Language: |
en-US |
| Citation: |
glmbayesCore citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
glmbayesCore results |