Package: projpred
Encoding: UTF-8
Title: Projection Predictive Feature Selection
Version: 2.3.0
Date: 2023-01-10
Authors@R: c(person("Juho", "Piironen", role = c("aut"),
                    email = "juho.t.piironen@gmail.com"),
             person("Markus", "Paasiniemi", role = "aut"),
             person("Alejandro", "Catalina", role = "aut",
                    email = "alecatfel@gmail.com"),
             person("Frank", "Weber", role = c("cre", "aut"),
                    email = "fweber144@protonmail.com"),
             person("Aki", "Vehtari", role = "aut"),
             person("Jonah", "Gabry", role = "ctb"),
             person("Marco", "Colombo", role = "ctb"),
             person("Paul-Christian", "Bürkner", role = "ctb"),
             person("Hamada S.", "Badr", role = "ctb"),
             person("Brian", "Sullivan", role = "ctb"),
             person("Sölvi", "Rögnvaldsson", role = "ctb"))
Description:
    Performs projection predictive feature selection for generalized linear and
    additive models as well as for generalized linear and additive multilevel
    models (see Piironen, Paasiniemi and Vehtari, 2020,
    <doi:10.1214/20-EJS1711>; Catalina, Bürkner and Vehtari, 2022,
    <https://proceedings.mlr.press/v151/catalina22a.html>). The package is
    compatible with the 'rstanarm' and 'brms' packages, but other reference
    models can also be used. See the documentation as well as the package
    vignette for more information and examples.
License: GPL-3 | file LICENSE
URL: https://mc-stan.org/projpred/, https://discourse.mc-stan.org
BugReports: https://github.com/stan-dev/projpred/issues/
Depends:
    R (>= 3.5.0)
Imports:
    methods,
    dplyr,
    loo (>= 2.0.0),
    rstantools (>= 2.0.0),
    lme4,
    mvtnorm,
    ggplot2,
    Rcpp,
    utils,
    magrittr,
    mgcv,
    gamm4,
    MASS,
    rlang
Suggests:
    rstanarm,
    brms,
    testthat,
    knitr,
    rmarkdown,
    glmnet,
    cmdstanr,
    bayesplot (>= 1.5.0),
    nlme,
    optimx,
    posterior,
    parallel,
    foreach,
    iterators,
    doParallel,
    future,
    future.callr,
    doFuture
LinkingTo: Rcpp, RcppArmadillo
Additional_repositories:
    https://mc-stan.org/r-packages/
LazyData: TRUE
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
VignetteBuilder: knitr, rmarkdown
