foba: greedy variable selection

foba is a package that implements forward, backward, and foba sparse learning algorithms for ridge regression, described in the paper "Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations".

Version: 0.1
Depends: R (≥ 2.0.0)
Published: 2008-11-08
Author: Tong Zhang
Maintainer: Tong Zhang <tongz at rci.rutgers.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: foba results

Downloads:

Reference manual: foba.pdf
Package source: foba_0.1.tar.gz
Windows binaries: r-devel: foba_0.1.zip, r-release: foba_0.1.zip, r-oldrel: foba_0.1.zip
OS X Snow Leopard binaries: r-release: foba_0.1.tgz, r-oldrel: foba_0.1.tgz
OS X Mavericks binaries: r-release: foba_0.1.tgz

Reverse dependencies:

Reverse suggests: fscaret