DRR: Dimensionality Reduction via Regression
Version 0.0.2

An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression.

AuthorGuido Kraemer [aut, cre]
Date of publication2016-09-15 15:46:27
MaintainerGuido Kraemer <gkraemer@bgc-jena.mpg.de>
LicenseGPL-3
Version0.0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("DRR")

Getting started

Package overview
README.md
Comparing DRR and PCA

Popular man pages

constructFastKRRLearner: Fast implementation for Kernel Ridge Regression.
drr: Dimensionality Reduction via Regression
DRR-package: Dimensionality Reduction via Regression.
See all...

All man pages Function index File listing

Man pages

constructFastKRRLearner: Fast implementation for Kernel Ridge Regression.
drr: Dimensionality Reduction via Regression
DRR-package: Dimensionality Reduction via Regression.

Functions

DRR Man page
DRR-package Man page
constructFastKRRLearner Man page Source code
drr Man page Source code
get_kernel_fun Source code
krr Source code
krr.predict Source code
makeBlocks Source code

Files

inst
inst/doc
inst/doc/comparePCA.R
inst/doc/comparePCA.html
inst/doc/comparePCA.Rmd
NAMESPACE
R
R/DRR-package.R
R/fastKRR.R
R/DRR.R
vignettes
vignettes/comparePCA.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/constructFastKRRLearner.Rd
man/drr.Rd
man/DRR-package.Rd
DRR documentation built on May 20, 2017, 2:32 a.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.