pass: Prediction and Stability Selection of Tuning Parameters
Version 1.0

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

Browse man pages Browse package API and functions Browse package files

AuthorYixin Fang, Wei Sun, Junhui Wang
Date of publication2013-01-12 15:01:38
MaintainerYixin Fang <yixin.fang@nyumc.org>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("pass")

Man pages

agree.twosets: Agreement of Two Subsets
cv.twosets: Two-fold Cross-Validation
pass: Prediction and Stability Selection of Tuning Parameters

Functions

agree.twosets Man page Source code
cv.twosets Man page Source code
pass Man page Source code
plot.pass Man page Source code
print.pass Man page Source code

Files

MD5
R
R/pass.R
NAMESPACE
man
man/pass.Rd
man/cv.twosets.Rd
man/agree.twosets.Rd
DESCRIPTION
pass documentation built on May 20, 2017, 1:14 a.m.