The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A Bayesian model selection approach for generalized linear mixed models. Currently, 'GLMMselect' can be used for Poisson GLMM and Bernoulli GLMM. 'GLMMselect' can select fixed effects and random effects simultaneously. Covariance structures for the random effects are a product of a unknown scalar and a known semi-positive definite matrix. 'GLMMselect' can be widely used in areas such as longitudinal studies, genome-wide association studies, and spatial statistics. 'GLMMselect' is based on Xu, Ferreira, Porter, and Franck (202X), Bayesian Model Selection Method for Generalized Linear Mixed Models, Biometrics, under review.
Version: | 1.2.0 |
Depends: | R (≥ 3.5.0) |
Imports: | stats (≥ 4.2.2) |
Suggests: | knitr, rmarkdown |
Published: | 2023-08-24 |
DOI: | 10.32614/CRAN.package.GLMMselect |
Author: | Shuangshuang Xu [aut, cre],
Marco Ferreira |
Maintainer: | Shuangshuang Xu <xshuangshuang at vt.edu> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | GLMMselect results |
Reference manual: | GLMMselect.pdf |
Vignettes: |
GLMMselect: Bayesian model selection for generalized linear mixed models |
Package source: | GLMMselect_1.2.0.tar.gz |
Windows binaries: | r-devel: GLMMselect_1.2.0.zip, r-release: GLMMselect_1.2.0.zip, r-oldrel: GLMMselect_1.2.0.zip |
macOS binaries: | r-release (arm64): GLMMselect_1.2.0.tgz, r-oldrel (arm64): GLMMselect_1.2.0.tgz, r-release (x86_64): GLMMselect_1.2.0.tgz, r-oldrel (x86_64): GLMMselect_1.2.0.tgz |
Old sources: | GLMMselect archive |
Please use the canonical form https://CRAN.R-project.org/package=GLMMselect to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.