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 several adjustments and improvements. The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for binary, count and continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.

Version: 0.3.0
Depends: R (≥ 3.1.0)
Imports: glmnet, MatrixModels, Formula, methods, graphics, partykit, earth, stringr
Suggests: akima, grid, foreach, testthat, mlbench, datasets
Published: 2017-08-03
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
Materials: README NEWS
CRAN checks: pre results

Downloads:

Reference manual: pre.pdf
Package source: pre_0.3.0.tar.gz
Windows binaries: r-devel: pre_0.3.0.zip, r-release: pre_0.3.0.zip, r-oldrel: pre_0.3.0.zip
OS X El Capitan binaries: r-release: pre_0.3.0.tgz
OS X Mavericks binaries: r-oldrel: pre_0.3.0.tgz
Old sources: pre archive

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