DESCRIPTION

Package: projpred
Encoding: UTF-8
Title: Projection Predictive Feature Selection
Version: 2.8.0.9000
Date: 2023-12-15
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"),
             person(family = "The LME4 Authors", role = "cph",
                    comment = "see file 'LICENSE' for details"),
             person("Yann", "McLatchie", role = "ctb"),
             person("Juho", "Timonen", role = "ctb"))
Description:
    Performs projection predictive feature selection for generalized linear
    models (Piironen, Paasiniemi, and Vehtari, 2020, <doi:10.1214/20-EJS1711>)
    with or without multilevel or additive terms (Catalina, Bürkner, and
    Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>), for
    some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2023,
    <arXiv:2301.01660>), and for many other regression models (using the latent
    projection by Catalina, Bürkner, and Vehtari, 2021, <arXiv:2109.04702>,
    which can also be applied to most of the former models). The package is
    compatible with the 'rstanarm' and 'brms' packages, but other reference
    models can also be used. See the vignettes and the documentation 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 (>= 3.6.0)
Imports:
    methods,
    utils,
    Rcpp,
    gtools,
    ggplot2,
    scales,
    rstantools (>= 2.0.0),
    loo (>= 2.0.0),
    lme4 (>= 1.1-28),
    mvtnorm,
    mgcv,
    gamm4,
    abind,
    MASS,
    ordinal,
    nnet,
    mclogit
Suggests:
    ggrepel,
    rstanarm,
    brms,
    nlme,
    optimx,
    ucminf,
    parallel,
    foreach,
    iterators,
    doRNG,
    unix,
    testthat,
    vdiffr,
    knitr,
    rmarkdown,
    glmnet,
    cmdstanr,
    rlang,
    bayesplot (>= 1.5.0),
    posterior,
    doParallel,
    future,
    future.callr,
    doFuture
LinkingTo: Rcpp, RcppArmadillo
Additional_repositories:
    https://mc-stan.org/r-packages/
LazyData: TRUE
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
VignetteBuilder: knitr, rmarkdown