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.
|Author||Jairo Diaz Rodriguez, Sylvain Sardy, Caroline Giacobino, Nick Hengartner.|
|Date of publication||2018-01-29 10:41:16 UTC|
|Maintainer||Jairo Diaz Rodriguez<[email protected]>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.