prototest: Inference on Prototypes from Clusters of Features

Procedures for testing for group-wide signal in clusters of variables. Tests can be performed for single groups in isolation (univariate) or multiple groups together (multivariate). Specific tests include the exact and approximate (un)selective likelihood ratio tests described in Reid et al (2015), the selective F test and marginal screening prototype test of Reid and Tibshirani (2015). User may pre-specify columns to be included in prototype formation, or allow the function to select them itself. A mixture of these two is also possible. Any variable selection is accounted for using the selective inference framework. Options for non-sampling and hit-and-run null reference distributions.

Version: 1.1
Depends: intervals, MASS, glmnet
Imports: Rcpp (≥ 0.12.1)
LinkingTo: Rcpp, RcppArmadillo
Published: 2016-04-19
Author: Stephen Reid
Maintainer: Stephen Reid <sreid at stanford.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://arxiv.org/abs/1511.07839
NeedsCompilation: yes
CRAN checks: prototest results

Downloads:

Reference manual: prototest.pdf
Package source: prototest_1.1.tar.gz
Windows binaries: r-devel: prototest_1.1.zip, r-release: prototest_1.1.zip, r-oldrel: prototest_1.1.zip
OS X El Capitan binaries: r-release: prototest_1.1.tgz
OS X Mavericks binaries: r-oldrel: prototest_1.1.tgz

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