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Thresholding based tests for null hypothesis of the form A beta =c, and the Quantile Universal Threshold (QUT) for GLMlasso and Squareroot lasso to obtain a sparse model with a good compromise between high true positive rate and low false discovery rate.
Package details 


Author  Jairo DiazRodriguez, Sylvain Sardy, Caroline Giacobino, Nick Hengartner. 
Maintainer  Jairo DiazRodriguez<jairo.diaz@unige.ch> 
License  GPL2 
Version  2.1 
Package repository  View on CRAN 
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