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: | 2.1 |
| Depends: | Matrix, glmnet, lars, flare |
| Published: | 2018-05-22 |
| 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_2.1.tar.gz |
| Windows binaries: | r-devel: qut_2.1.zip, r-devel-gcc8: qut_2.1.zip, r-release: qut_2.1.zip, r-oldrel: qut_2.1.zip |
| OS X binaries: | r-release: qut_2.1.tgz, r-oldrel: qut_2.1.tgz |
| Old sources: | qut archive |
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