Linear and logistic regression models penalized with hierarchical shrinkage priors for selection of biomarkers (or more general variable selection), which can be fitted using Stan (Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>). It implements the horseshoe and regularized horseshoe priors (Piironen and Vehtari (2017) <doi:10.1214/17-EJS1337SI>), as well as the projection predictive selection approach to recover a sparse set of predictive biomarkers (Piironen, Paasiniemi and Vehtari (2020) <doi:10.1214/20-EJS1711>).
| Version: | 0.8.2 |
| Depends: | R (≥ 3.6) |
| Imports: | ggplot2,loo (≥ 2.1.0), parallel,pROC,Rcpp, methods,rstan (≥ 2.26.0),rstantools (≥ 2.0.0), stats, utils |
| LinkingTo: | BH (≥ 1.66.0.1),Rcpp (≥ 0.12.15),RcppEigen (≥0.3.3.4.0),RcppParallel (≥ 5.0.1),StanHeaders (≥ 2.26.0),rstan (≥ 2.26.0) |
| Suggests: | testthat (≥ 2.1.0) |
| Published: | 2024-01-13 |
| DOI: | 10.32614/CRAN.package.hsstan |
| Author: | Marco Colombo [aut, cre], Paul McKeigue [aut], Athina Spiliopoulou [ctb] |
| Maintainer: | Marco Colombo <mar.colombo13 at gmail.com> |
| BugReports: | https://github.com/mcol/hsstan/issues |
| License: | GPL-3 |
| URL: | https://github.com/mcol/hsstan |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Materials: | README,NEWS |
| In views: | Omics |
| CRAN checks: | hsstan results |