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pre
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", "1.0.7")
Attach the package and use:
library("pre")
Maintained by
Marjolein Fokkema
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-12-24
Latest Update: 2023-02-12
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 1.0.7, https://cran.r-project.org/web/packages/pre
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)
Other packages that cited pre R package
View pre citation profile
Other R packages that pre depends,
imports, suggests or enhances
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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