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: | 0.4-1 |
Depends: | R (≥ 3.1.0) |
Imports: | glmnet, MatrixModels, Formula, methods, graphics, partykit, earth, stringr |
Suggests: | akima, grid, foreach, testthat, mlbench, datasets |
Published: | 2018-01-23 |
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 |
Reference manual: | pre.pdf |
Package source: | pre_0.4-1.tar.gz |
Windows binaries: | r-devel: pre_0.4-1.zip, r-release: pre_0.4-1.zip, r-oldrel: pre_0.4-1.zip |
OS X El Capitan binaries: | r-release: pre_0.4-1.tgz |
OS X Mavericks binaries: | r-oldrel: pre_0.4.tgz |
Old sources: | pre archive |
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