ppls: Penalized Partial Least Squares
Version 1.6-1

This package contains linear and nonlinear regression methods based on Partial Least Squares and Penalization Techniques. Model parameters are selected via cross-validation, and confidence intervals ans tests for the regression coefficients can be conducted via jackknifing.

Browse man pages Browse package API and functions Browse package files

AuthorNicole Kraemer <kraemer_r_packages@yahoo.de> Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
Date of publication2014-09-04 11:55:57
MaintainerNicole Kraemer <kraemer_r_packages@yahoo.de>
LicenseGPL (>= 2)
Version1.6-1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ppls")

Man pages

coef.mypls: Regression coefficients
cookie: Near-Infrared (NIR) Spectroscopy of Biscuit Doughs
graphic.ppls.splines: Plots for penalized PLS based on Spline Transformations
jack.ppls: Jackknife estimation for PPLS-coefficients
new.penalized.pls: Prediction for Penalized Partial Least Squares
normalize.vector: Normalization of a vector
penalized.pls: Penalized Partial Least Squares
penalized.pls.cv: Cross-validation for Penalized PLS
penalized.pls.default: Penalized PLS based on NIPALS Algorithm
penalized.pls.kernel: Kernel Penalized PLS
penalized.pls.select: Penalized PLS based on NIPALS Algorithm and blockswise...
Penalty.matrix: Penalty matrix for higher order differences
ppls-package: ppls - Penalized Partial Least Squares
ppls.splines.cv: Cross-validation for penalized PLS based on Spline...
sim.data.ppls: Simulated Data
ttest.ppls: T-Test for regression coefficients
vcov.mypls: Variance-covariance matrix of the regression coefficients
X2s: Nolinear Transformation via B-splines

Functions

Penalty.matrix Man page
X2s Man page
coef.mypls Man page Source code
cookie Man page
graphic.ppls.splines Man page Source code
jack.ppls Man page
new.penalized.pls Man page
normalize.vector Man page
penalized.pls Man page
penalized.pls.cv Man page
penalized.pls.default Man page
penalized.pls.kernel Man page
penalized.pls.select Man page
ppls Man page
ppls-package Man page
ppls.splines.cv Man page
sim.data.ppls Man page
ttest.ppls Man page Source code
vcov.mypls Man page Source code

Files

inst
inst/CITATION
inst/ChangeLog
NAMESPACE
data
data/cookie.rda
R
R/normalize.vector.R
R/ppls.splines.cv.R
R/coef.mypls.R
R/new.penalized.pls.R
R/vcov.mypls.R
R/Penalty.matrix.R
R/jack.ppls.R
R/ttest.ppls.R
R/penalized.pls.cv.R
R/penalized.pls.kernel.R
R/penalized.pls.default.R
R/X2s.R
R/sim.data.ppls.R
R/penalized.pls.select.R
R/graphic.ppls.splines.R
R/penalized.pls.R
MD5
DESCRIPTION
man
man/penalized.pls.cv.Rd
man/penalized.pls.Rd
man/ttest.ppls.Rd
man/jack.ppls.Rd
man/new.penalized.pls.Rd
man/ppls-package.Rd
man/cookie.Rd
man/ppls.splines.cv.Rd
man/coef.mypls.Rd
man/penalized.pls.default.Rd
man/normalize.vector.Rd
man/graphic.ppls.splines.Rd
man/sim.data.ppls.Rd
man/vcov.mypls.Rd
man/penalized.pls.select.Rd
man/penalized.pls.kernel.Rd
man/X2s.Rd
man/Penalty.matrix.Rd
ppls documentation built on May 20, 2017, 5:05 a.m.