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: 1.0.0
Depends: R (≥ 3.5.0)
Imports: earth, Formula, glmnet, graphics, methods, partykit (≥ 1.2-0), rpart, stringr, survival, Matrix, MatrixModels
Suggests: akima, datasets, doParallel, foreach, glmertree, grid, mlbench, testthat, mboost
Published: 2020-03-06
Author: Marjolein Fokkema [aut, cre], Benjamin Christoffersen [aut]
Maintainer: Marjolein Fokkema <m.fokkema at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: pre citation info
Materials: README NEWS
CRAN checks: pre results


Reference manual: pre.pdf
Package source: pre_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: pre_1.0.0.tgz, r-oldrel: pre_1.0.0.tgz
Old sources: pre archive

Reverse dependencies:

Reverse imports: FREEtree
Reverse suggests: plotmo


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