qut: Quantile Universal Threshold

Thresholding based tests for null hypothesis of the form A beta =c, and the Quantile Universal Threshold (QUT) 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: 2.0
Depends: Matrix, glmnet, lars, flare
Published: 2018-01-29
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_2.0.tar.gz
Windows binaries: r-devel: qut_2.0.zip, r-release: qut_2.0.zip, r-oldrel: qut_2.0.zip
OS X binaries: r-release: qut_2.0.tgz, r-oldrel: qut_2.0.tgz
Old sources: qut archive


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