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.
|Author||Niki Zumbrunnen <firstname.lastname@example.org>, Lutz Duembgen <email@example.com>.|
|Date of publication||2017-06-05 15:13:51 UTC|
|Maintainer||Niki Zumbrunnen <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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