# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "hsstan" in publications use:' type: software license: GPL-3.0-only title: 'hsstan: Hierarchical Shrinkage Stan Models for Biomarker Selection' version: 0.8.2 doi: 10.32614/CRAN.package.hsstan abstract: 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) ). It implements the horseshoe and regularized horseshoe priors (Piironen and Vehtari (2017) ), as well as the projection predictive selection approach to recover a sparse set of predictive biomarkers (Piironen, Paasiniemi and Vehtari (2020) ). authors: - family-names: Colombo given-names: Marco email: mar.colombo13@gmail.com orcid: https://orcid.org/0000-0001-6672-0623 - family-names: McKeigue given-names: Paul email: paul.mckeigue@ed.ac.uk orcid: https://orcid.org/0000-0002-5217-1034 repository: https://cran.r-universe.dev repository-code: https://github.com/mcol/hsstan commit: aebc294edd70d62c1b03ff46889829fc8a985aca url: https://github.com/mcol/hsstan date-released: '2024-01-13' contact: - family-names: Colombo given-names: Marco email: mar.colombo13@gmail.com orcid: https://orcid.org/0000-0001-6672-0623