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)