NPC: Nonparametric Combination of Hypothesis Tests

An implementation of nonparametric combination of hypothesis tests. This package performs nonparametric combination (Pesarin and Salmaso 2010), a permutation-based procedure for jointly testing multiple hypotheses. The tests are conducted under the global "sharp" null hypothesis of no effects, and the component tests are combined on the metric of their p-values. A key feature of nonparametric combination is that it accounts for the dependence among tests under the null hypothesis. In addition to the "NPC" function, which performs nonparametric combination itself, the package also contains a number of helper functions, many of which calculate a test statistic given an input of data.

Version: 1.1.0
Depends: R (≥ 3.2.0)
Imports: permute, dplyr, coin, matlab
Suggests: car, mvtnorm, plyr, xtable
Published: 2016-03-28
Author: Devin Caughey [aut, cre]
Maintainer: Devin Caughey <devin.caughey at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: NPC results

Downloads:

Reference manual: NPC.pdf
Package source: NPC_1.1.0.tar.gz
Windows binaries: r-devel: NPC_1.1.0.zip, r-release: NPC_1.1.0.zip, r-oldrel: NPC_1.1.0.zip
OS X Mavericks binaries: r-release: NPC_1.1.0.tgz, r-oldrel: NPC_1.1.0.tgz
Old sources: NPC archive

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