pass: Prediction and Stability Selection of Tuning Parameters

To implement two methods, Kappa and PASS, for selecting tuning parameters in regularized procedures such as LASSO, SCAD, adaptive LASSO, aiming for variable selection in regularized regression

Version: 1.0
Depends: R (≥ 2.10.0), MASS, lars, ncvreg
Published: 2013-01-12
Author: Yixin Fang, Wei Sun, Junhui Wang
Maintainer: Yixin Fang <yixin.fang at nyumc.org>
License: GPL-2
NeedsCompilation: no
CRAN checks: pass results

Downloads:

Reference manual: pass.pdf
Package source: pass_1.0.tar.gz
Windows binaries: r-devel: pass_1.0.zip, r-release: pass_1.0.zip, r-oldrel: pass_1.0.zip
OS X Snow Leopard binaries: r-release: pass_1.0.tgz, r-oldrel: pass_1.0.tgz
OS X Mavericks binaries: r-release: pass_1.0.tgz