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.

AuthorNiki Zumbrunnen <niki.zumbrunnen@gmail.com>, Lutz Duembgen <lutz.duembgen@stat.unibe.ch>.
Date of publication2015-11-03 10:59:08
MaintainerNiki Zumbrunnen <niki.zumbrunnen@gmail.com>
LicenseGPL (>= 2)

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