pvclass: P-Values for Classification

Computes nonparametric p-values for the potential class memberships of new observations as well as cross-validated p-values for the training data. The p-values are based on permutation tests applied to an estimated Bayesian likelihood ratio, using a plug-in statistic for the Gaussian model, 'k nearest neighbors', 'weighted nearest neighbors' or 'penalized logistic regression'. Additionally, it provides graphical displays and quantitative analyses of the p-values.

Version: 1.4
Imports: Matrix
Published: 2017-06-05
Author: Niki Zumbrunnen, Lutz Duembgen.
Maintainer: Niki Zumbrunnen <niki.zumbrunnen at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: pvclass citation info
CRAN checks: pvclass results


Reference manual: pvclass.pdf
Package source: pvclass_1.4.tar.gz
Windows binaries: r-devel: pvclass_1.4.zip, r-release: pvclass_1.4.zip, r-oldrel: pvclass_1.4.zip
OS X El Capitan binaries: r-release: pvclass_1.4.tgz
OS X Mavericks binaries: r-oldrel: pvclass_1.4.tgz
Old sources: pvclass archive


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