pre: Prediction Rule Ensembles (original) (raw)
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 described in Fokkema (2020; <doi:10.18637/jss.v092.i12>) and Fokkema & Strobl (2020; <doi:10.1037/met0000256>). The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, survival and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.
| Version: | 1.0.8 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| 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, randomForest |
| Published: | 2025-09-06 |
| 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 |
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