spcr: Sparse Principal Component Regression
Version 2.0

The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.

AuthorShuichi Kawano
Date of publication2016-10-03 13:30:02
MaintainerShuichi Kawano <skawano@uec.ac.jp>
LicenseGPL (>= 2)
Version2.0
URL https://sites.google.com/site/shuichikawanoen/
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("spcr")

Popular man pages

cv.spcr: Cross-validation for spcr
cv.spcrglm: Cross-validation for spcr-glm
spcr: Fit a sparse principal component regression (SPCR)
spcrglm: Fit a sparse principal component regression for generalized...
See all...

All man pages Function index File listing

Man pages

cv.spcr: Cross-validation for spcr
cv.spcrglm: Cross-validation for spcr-glm
spcr: Fit a sparse principal component regression (SPCR)
spcrglm: Fit a sparse principal component regression for generalized...

Functions

CV.SPCRLoG Source code
CV.SPCRMultiLoG Source code
CV.SPCRPoi Source code
SPCRLoG Source code
SPCRMultiLoG Source code
SPCRPoi Source code
adaSPCRLoG Source code
adaSPCRMultiLoG Source code
adaSPCRPoi Source code
cv.spcr Man page Source code
cv.spcrglm Man page Source code
ini.lambda Source code
softsh Source code
spcr Man page Source code
spcrglm Man page Source code

Files

src
src/Makevars
src/SPCR.c
NAMESPACE
R
R/spcr.R
R/SPCRPoi.R
R/cv.spcrglm.R
R/SPCRLoG.R
R/spcrglm.R
R/SPCRMultiLoG.R
R/ini.lambda.R
R/softthresh.R
R/cv.spcr.R
MD5
DESCRIPTION
man
man/cv.spcr.Rd
man/spcrglm.Rd
man/cv.spcrglm.Rd
man/spcr.Rd
spcr documentation built on May 19, 2017, 9:59 p.m.

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