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hsstan  

Hierarchical Shrinkage Stan Models for Biomarker Selection
View on CRAN: Click here


Download and install hsstan package within the R console
Install from CRAN:
install.packages("hsstan")

Install from Github:
library("remotes")
install_github("cran/hsstan")

Install by package version:
library("remotes")
install_version("hsstan", "0.8.2")



Attach the package and use:
library("hsstan")
Maintained by
Marco Colombo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-22
Latest Update: 2024-01-13
Description:
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) ).
How to cite:
Marco Colombo (2019). hsstan: Hierarchical Shrinkage Stan Models for Biomarker Selection. R package version 0.8.2, https://cran.r-project.org/web/packages/hsstan. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 0.6 (2019-09-22 12:40), 0.7 (2020-05-01 16:30), 0.8.1 (2021-09-16 09:30), 0.8 (2020-06-29 19:40)
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Complete documentation for hsstan
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