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stepPlr  

L2 Penalized Logistic Regression with Stepwise Variable Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("stepPlr", "0.93")



Attach the package and use:
library("stepPlr")
Maintained by
Mee Young Park
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-07-10
Latest Update: 2018-01-28
Description:
L2 penalized logistic regression for both continuous and discrete predictors, with forward stagewise/forward stepwise variable selection procedure.
How to cite:
Mee Young Park (2006). stepPlr: L2 Penalized Logistic Regression with Stepwise Variable Selection. R package version 0.93, https://cran.r-project.org/web/packages/stepPlr. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:09), 0.90 (2006-07-10 08:48), 0.91 (2007-01-30 09:47), 0.92 (2010-07-26 13:59)
Other packages that cited stepPlr R package
View stepPlr citation profile
Other R packages that stepPlr depends, imports, suggests or enhances
Complete documentation for stepPlr
Functions, R codes and Examples using the stepPlr R package
Some associated functions: cv.step.plr . plr-internal . plr . predict.plr . predict.stepplr . step.plr . 
Some associated R codes: internal.R . plr.R . step.plr.R .  Full stepPlr package functions and examples
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