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.
With high-dimensional omics features, repeated measure ANOVA leads to longitudinal gene-environment interaction studies that have intra-cluster correlations, outlying observations and structured sparsity arising from the ANOVA design. In this package, we have developed robust sparse Bayesian mixed effect models tailored for the above studies (Fan et al. (2025) <doi:10.1093/jrsssc/qlaf027>). An efficient Gibbs sampler has been developed to facilitate fast computation. The Markov chain Monte Carlo algorithms of the proposed and alternative methods are efficiently implemented in 'C++'. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.
| Version: | 0.1.7 |
| Depends: | R (≥ 4.2.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2025-05-01 |
| DOI: | 10.32614/CRAN.package.mixedBayes |
| Author: | Kun Fan [aut, cre], Cen Wu [aut] |
| Maintainer: | Kun Fan <kfan at ksu.edu> |
| License: | GPL-2 |
| URL: | https://github.com/kunfa/mixedBayes |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | mixedBayes results |
| Reference manual: | mixedBayes.pdf |
| Package source: | mixedBayes_0.1.7.tar.gz |
| Windows binaries: | r-devel: mixedBayes_0.1.7.zip, r-release: mixedBayes_0.1.7.zip, r-oldrel: mixedBayes_0.1.7.zip |
| macOS binaries: | r-release (arm64): mixedBayes_0.1.7.tgz, r-oldrel (arm64): mixedBayes_0.1.7.tgz, r-release (x86_64): mixedBayes_0.1.7.tgz, r-oldrel (x86_64): mixedBayes_0.1.7.tgz |
| Old sources: | mixedBayes archive |
Please use the canonical form https://CRAN.R-project.org/package=mixedBayes 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.