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>
License: GPL-2
NeedsCompilation: no
CRAN checks: pass results


Reference manual: pass.pdf
Package source: pass_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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