projpred: Projection Predictive Feature Selection

Performs projection predictive feature selection for generalized linear models and generalized linear and additive multilevel models (see, Piironen, Paasiniemi and Vehtari, 2020, <https://projecteuclid.org/euclid.ejs/1589335310>, Catalina, Bürkner and Vehtari, 2020, <arXiv:2010.06994>). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the package vignette for more information and examples.

Version: 2.0.2
Depends: R (≥ 3.5.0)
Imports: methods, dplyr, loo (≥ 2.0.0), rstantools (≥ 2.0.0), lme4, optimx, ggplot2, Rcpp, utils, rngtools (≥ 1.2.4), tidyverse, MASS, magrittr, mgcv, gamm4
LinkingTo: Rcpp, RcppArmadillo
Suggests: rstanarm, brms, testthat, knitr, rmarkdown, glmnet, bayesplot (≥ 1.5.0)
Published: 2020-10-28
Author: Juho Piironen [aut], Markus Paasiniemi [aut], Alejandro Catalina [cre, aut], Aki Vehtari [aut], Jonah Gabry [ctb], Marco Colombo [ctb], Paul-Christian Bürkner [ctb]
Maintainer: Alejandro Catalina <alecatfel at gmail.com>
BugReports: https://github.com/stan-dev/projpred/issues/
License: GPL-3
URL: https://mc-stan.org/projpred/, https://discourse.mc-stan.org
NeedsCompilation: yes
Materials: NEWS
CRAN checks: projpred results

Downloads:

Reference manual: projpred.pdf
Vignettes: projpred Performing variable selection on Generalized Linear Multilevel Models
projpred Quick Start
Package source: projpred_2.0.2.tar.gz
Windows binaries: r-devel: projpred_2.0.0.zip, r-release: projpred_2.0.0.zip, r-oldrel: projpred_1.1.6.zip
macOS binaries: r-release: projpred_2.0.0.tgz, r-oldrel: projpred_2.0.0.tgz
Old sources: projpred archive

Reverse dependencies:

Reverse suggests: parameters

Linking:

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