rRAP: Real-Time Adaptive Penalization for Streaming Lasso Models

An implementation of the Real-time Adaptive Penalization (RAP) algorithm through which to iteratively update a regularization parameter in a streaming context.

Version: 1.1
Depends: lars, lassoshooting, MASS
Published: 2016-10-31
Author: Ricardo Pio Monti
Maintainer: Ricardo Pio Monti <ricardo.monti08 at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: rRAP results

Downloads:

Reference manual: rRAP.pdf
Package source: rRAP_1.1.tar.gz
Windows binaries: r-devel: rRAP_1.1.zip, r-release: rRAP_1.1.zip, r-oldrel: rRAP_1.1.zip
OS X El Capitan binaries: r-release: rRAP_1.1.tgz
OS X Mavericks binaries: r-oldrel: rRAP_1.1.tgz
Old sources: rRAP archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rRAP to link to this page.