Author: Jairo Diaz-Rodriguez, Sylvain Sardy, Caroline Giacobino, Nick Hengartner.

Authors@R: c(person("Jairo", "Diaz-Rodriguez", role = c("aut", "cre","cph"),
person("Sylvain", "Sardy", role = c("aut", "ths"),
person("Caroline", "Giacobino", role = c("aut")),
person("Nick", "Hengartner", role = c("aut")))
Description: Thresholding based tests for null hypothesis of the form A beta =c, and the Quantile Universal Threshold (QUT) for lasso regularization of Generalized Linear Models (GLM) and square-root lasso to obtain a sparse model with a good compromise between high true positive rate and low false discovery rate. Giacobino et al. (2017) <doi:10.1214/17-EJS1366>. Sardy et al. (2017) <arXiv:1708.02908>.
Author: Jairo Diaz-Rodriguez [aut, cre, cph],

Package: qvalue
Title: Q-value estimation for false discovery rate control
Version: 1.1.1
Author: Alan Dabney <adabney@u.washington.edu> and
John D. Storey <jstorey@u.washington.edu>, with assistance from
Gregory R. Warnes <gregory_r_warnes@groton.pfizer.com>
Description: This package takes a list of p-values resulting from the
simultaneous testing of many hypotheses and estimates their
q-values. The q-value of a test measures the proportion of
false positives incurred (called the false discovery rate)
when that particular test is called significant. Various plots
are automatically generated, allowing one to make sensible
significance cut-offs. Several mathematical results have recently
been shown on the conservative accuracy of the estimated
q-values from this software. The software can be applied
to problems in genomics, brain imaging, astrophysics, and
data mining.
Maintainer: John D. Storey <jstorey@u.washington.edu>
Depends: R (>= 1.7.0)
Suggests: tcltk
License: LGPL
Packaged: Tue Feb 24 09:28:07 2009; hornik

Package: qvalue
Title: Q-value estimation for false discovery rate control
Version: 1.1
Author: Alan Dabney <adabney@u.washington.edu> and
John D. Storey <jstorey@u.washington.edu>, with assistance from
Gregory R. Warnes <gregory_r_warnes@groton.pfizer.com>
Description: This package takes a list of p-values resulting from the
simultaneous testing of many hypotheses and estimates their
q-values. The q-value of a test measures the proportion of
false positives incurred (called the false discovery rate)
when that particular test is called significant. Various plots
are automatically generated, allowing one to make sensible
significance cut-offs. Several mathematical results have recently
been shown on the conservative accuracy of the estimated
q-values from this software. The software can be applied
to problems in genomics, brain imaging, astrophysics, and
data mining.
Maintainer: John D. Storey <jstorey@u.washington.edu>
Depends: R (>= 1.7.0)
License: LGPL
Packaged: Sat Oct  9 11:23:03 2004; jstorey