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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.
Getting started
Browse package contents
Package details |
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| Author | Niki Zumbrunnen [aut, cre], Lutz Duembgen. [aut] |
| Maintainer | Niki Zumbrunnen <niki.zumbrunnen@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.4.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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