stepPlr: L2 penalized logistic regression with a stepwise variable selection
Version 0.92

L2 penalized logistic regression for both continuous and discrete predictors, with forward stagewise/forward stepwise variable selection procedure.

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AuthorMee Young Park, Trevor Hastie
Date of publication2010-07-26 13:59:19
MaintainerMee Young Park <meeyoung@google.com>
LicenseGPL (>= 2)
Version0.92
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("stepPlr")

Man pages

cv.step.plr: Computes cross-validated deviance or prediction errors for...
plr: Logistic regression with a quadratic penalization on the...
plr-internal: Internal plr functions
predict.plr: prediction function for plr
predict.stepplr: prediction function for step.plr
step.plr: Forward stepwise selection procedure for penalized logistic...

Functions

anova.stepplr Man page Source code
cross.imat Man page Source code
cv.step.plr Man page Source code
get.imat Man page Source code
imat Man page Source code
plr Man page Source code
predict.plr Man page Source code
predict.stepplr Man page Source code
print.plr Man page Source code
print.stepplr Man page Source code
step.plr Man page Source code
summary.plr Man page Source code
summary.stepplr Man page Source code
term.match Man page Source code

Files

src
src/solveplr.f
src/cg_descent.f
R
R/internal.R
R/plr.R
R/step.plr.R
DESCRIPTION
NAMESPACE
man
man/predict.plr.Rd
man/plr.Rd
man/predict.stepplr.Rd
man/step.plr.Rd
man/plr-internal.Rd
man/cv.step.plr.Rd
stepPlr documentation built on May 29, 2017, 2:02 p.m.