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pre: Prediction Rule Ensembles

Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <doi:10.1214/07-AOAS148>), with adjustments and improvements. The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.

Version: 1.0.7
Depends: R (≥ 3.5.0)
Imports: earth, Formula, glmnet, graphics, methods, partykit (≥ 1.2-0), rpart, stringr, survival, Matrix, MatrixModels
Suggests: interp, datasets, doParallel, foreach, glmertree, grid, mlbench, testthat, mboost, ggplot2, caret, pROC, knitr, rmarkdown, mice, shape
Published: 2024-01-12
DOI: 10.32614/CRAN.package.pre
Author: Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut]
Maintainer: Marjolein Fokkema <m.fokkema at fsw.leidenuniv.nl>
BugReports: https://github.com/marjoleinF/pre/issues
License: GPL-2 | GPL-3
URL: https://github.com/marjoleinF/pre
NeedsCompilation: no
Citation: pre citation info
Materials: README, NEWS
In views: MachineLearning
CRAN checks: pre results [issues need fixing before 2025-09-03]

Documentation:

Reference manual: pre.html , pre.pdf
Vignettes: Dealing with missing data in fitting prediction rule ensembles (source, R code)
More sparse and relaxed: Fitting rule ensembles with the relaxed lasso (source, R code)
Faster computation (source, R code)
Tuning parameters of function pre (source, R code)

Downloads:

Package source: pre_1.0.7.tar.gz
Windows binaries: r-devel: pre_1.0.7.zip, r-release: pre_1.0.7.zip, r-oldrel: pre_1.0.7.zip
macOS binaries: r-release (arm64): pre_1.0.7.tgz, r-oldrel (arm64): pre_1.0.7.tgz, r-release (x86_64): pre_1.0.7.tgz, r-oldrel (x86_64): pre_1.0.7.tgz
Old sources: pre archive

Reverse dependencies:

Reverse imports: FREEtree
Reverse suggests: plotmo

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pre to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.