Package: projpred
Encoding: UTF-8
Title: Projection Predictive Feature Selection
Version: 2.11.0.9000
Date: 2026-09-30
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 = "aut"),
             person("Osvaldo", "Martin", role = c("cre", "aut"),
                    email = "aloctavodia@gmail.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, 2025, <doi:10.1007/s00180-024-01506-0>), and for many
        other regression models (using the latent projection by
        Catalina, Bürkner, and Vehtari, 2021,
        <doi:10.48550/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, reformulas,
Suggests: ggrepel, ggfortify, 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,
        progressr
LinkingTo: Rcpp, RcppArmadillo
Additional_repositories: https://stan-dev.r-universe.dev/
LazyData: TRUE
Roxygen: list(markdown = TRUE)
VignetteBuilder: knitr, rmarkdown
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make
Repository: https://stan-dev.r-universe.dev
Date/Publication: 2026-10-29 08:48:01 UTC
RemoteUrl: https://github.com/stan-dev/projpred
RemoteRef: HEAD
RemoteSha: ca18ed2773b0ae753ac77893e3836f851987f57f
NeedsCompilation: yes
Packaged: 2026-10-29 10:22:32 UTC; root
Author: Juho Piironen [aut],
  Markus Paasiniemi [aut],
  Alejandro Catalina [aut],
  Frank Weber [aut],
  Osvaldo Martin [cre, aut],
  Aki Vehtari [aut],
  Jonah Gabry [ctb],
  Marco Colombo [ctb],
  Paul-Christian Bürkner [ctb],
  Hamada S. Badr [ctb],
  Brian Sullivan [ctb],
  Sölvi Rögnvaldsson [ctb],
  The LME4 Authors [cph] (see file 'LICENSE' for details),
  Yann McLatchie [ctb],
  Juho Timonen [ctb]
Maintainer: Osvaldo Martin <aloctavodia@gmail.com>