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