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.
||Niki Zumbrunnen <niki.zumbrunnen at gmail.com>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]