CRAN/E | pre

pre

Prediction Rule Ensembles

Installation

About

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.

Citation pre citation info
github.com/marjoleinF/pre
Bug report File report

Key Metrics

Version 1.0.7
R ≥ 3.5.0
Published 2024-01-12 271 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks pre results

Downloads

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Maintainer

Maintainer

Marjolein Fokkema

Authors

Marjolein Fokkema

aut / cre

Benjamin Christoffersen

aut

Material

README
NEWS
Reference manual
Package source

In Views

MachineLearning

Vignettes

Dealing with missing data in fitting prediction rule ensembles
More sparse and relaxed: Fitting rule ensembles with the relaxed lasso
Faster computation
Tuning parameters of function pre

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

pre archive

Depends

R ≥ 3.5.0

Imports

earth
Formula
glmnet
graphics
methods
partykit ≥1.2-0
rpart
stringr
survival
Matrix
MatrixModels

Suggests

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datasets
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shape

Reverse Imports

FREEtree

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