Selection of a threshold parameter for GLM-lasso and Square-root lasso to obtain a sparse model with a good compromise between high true positive rate and low false discovery rate.
Version: | 1.1 |
Depends: | Matrix, glmnet, lars, flare |
Published: | 2016-09-09 |
Author: | Jairo Diaz Rodriguez, Sylvain Sardy, Caroline Giacobino, Nick Hengartner. |
Maintainer: | Jairo Diaz Rodriguez <jairo.diaz at unige.ch> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | qut results |
Reference manual: | qut.pdf |
Package source: | qut_1.1.tar.gz |
Windows binaries: | r-devel: qut_1.1.zip, r-release: qut_1.1.zip, r-oldrel: qut_1.1.zip |
OS X Mavericks binaries: | r-release: qut_1.1.tgz, r-oldrel: qut_1.1.tgz |
Old sources: | qut archive |
Please use the canonical form https://CRAN.R-project.org/package=qut to link to this page.