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: |
1.0.4 |
| 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, ggplot2, caret, pROC, knitr, rmarkdown, mice |
| Published: |
2022-03-30 |
| 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 |
| CRAN checks: |
pre results |
Documentation:
Downloads:
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