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pvclass

P-values for Classification
Niki Zumbrunnen <niki.zumbrunnen@stat.unibe.ch>, Lutz Duembgen <lutz.duembgen@stat.unibe.ch>.
GPL (>= 2)
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' or 'weighted nearest neighbors'. Additionally, it provides graphical displays and quantitative analyses of the p-values.
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pvclass 1.0 4 years 17 weeks ago
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