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Package: hsstan
Type: Package
Title: Hierarchical Shrinkage Stan Models for Biomarker Selection
Version: 0.8.2.9000
Date: 2024-01-13
Authors@R: c(person("Marco", "Colombo",
                    email="mar.colombo13@gmail.com", role=c("aut", "cre"),
                    comment=c(ORCID="0000-0001-6672-0623")),
             person("Paul", "McKeigue",
                    email="paul.mckeigue@ed.ac.uk", role="aut",
                    comment=c(ORCID="0000-0002-5217-1034")),
             person("Athina", "Spiliopoulou",
                    email="A.Spiliopoulou@ed.ac.uk", role="ctb",
                    comment=c(ORCID="0000-0002-5929-6585")))
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)
  <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>).
License: GPL-3
URL: https://github.com/mcol/hsstan
BugReports: https://github.com/mcol/hsstan/issues
LazyData: yes
Biarch: true
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)
ByteCompile: yes
NeedsCompilation: yes
SystemRequirements: GNU make
Encoding: UTF-8
RoxygenNote: 7.2.1
Roxygen: list(markdown=TRUE)