Last data update: 2014.03.03
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pass
Package: pass
Type: Package
Title: Prediction and Stability Selection of Tuning Parameters
Version: 1.0
Date: 2012-12-21
Author: Yixin Fang, Wei Sun, Junhui Wang
Maintainer: Yixin Fang <yixin.fang@nyumc.org>
Description: 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
License: GPL-2
LazyLoad: yes
Depends: R (>= 2.10.0), MASS, lars, ncvreg
Packaged: 2013-01-09 22:46:13 UTC; fangy03
Repository: CRAN
Date/Publication: 2013-01-12 15:01:38
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0 images,
3 functions,
0 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'pass' ...
** package 'pass' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'pass'
finding HTML links ... done
agree.twosets html
cv.twosets html
pass html
** building package indices
** testing if installed package can be loaded
* DONE (pass)
Making 'packages.html' ... done
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