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pre  

Prediction Rule Ensembles
View on CRAN: Click here


Download and install pre package within the R console
Install from CRAN:
install.packages("pre")

Install from Github:
library("remotes")
install_github("cran/pre")

Install by package version:
library("remotes")
install_version("pre", "1.0.8")



Attach the package and use:
library("pre")
Maintained by
Marjolein Fokkema
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-24
Latest Update: 2025-09-03
Description:
Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; ), 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.
How to cite:
Marjolein Fokkema (2016). pre: Prediction Rule Ensembles. R package version 1.0.8, https://cran.r-project.org/web/packages/pre. Accessed 07 Mar. 2026.
Previous versions and publish date:
0.1 (2016-12-24 18:36), 0.2 (2017-04-26 19:24), 0.3.0 (2017-08-03 17:03), 0.4-1 (2018-01-23 17:54), 0.4 (2017-08-31 20:37), 0.5.0 (2018-05-07 21:51), 0.6.0 (2018-08-03 13:10), 0.7.0 (2019-04-01 14:20), 0.7.1 (2019-04-26 13:40), 0.7.2 (2019-11-29 10:10), 1.0.0 (2020-03-06 10:20), 1.0.1 (2021-07-05 17:00), 1.0.2 (2022-02-25 09:00), 1.0.3 (2022-03-12 01:10), 1.0.4 (2022-03-30 09:00), 1.0.5 (2022-06-10 23:20), 1.0.6 (2023-02-12 23:50), 1.0.7 (2024-01-12 20:30)
Other packages that cited pre R package
View pre citation profile
Other R packages that pre depends, imports, suggests or enhances
Complete documentation for pre
Functions, R codes and Examples using the pre R package
Some associated functions: bsnullinteract . caret_pre_model . carrillo . coef.gpe . coef.pre . corplot . cvpre . explain . gpe . gpe_cv.glmnet . gpe_rules_pre . gpe_sample . gpe_trees . importance.pre . interact . maxdepth_sampler . mi_mean . mi_pre . pairplot . plot.pre . pre . predict.gpe . predict.pre . print.gpe . print.pre . prune_pre . rTerm . rare_level_sampler . singleplot . summary.gpe . summary.pre . 
Some associated R codes: caret_pre_model.R . data.R . gpe.R . gpe_miscs.R . mi_pre.R . pre.R . utils.R .  Full pre package functions and examples
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