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. 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 |
| In views: | MachineLearning |
| CRAN checks: | pre results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=preto link to this page.