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' or 'weighted nearest neighbors'.
Additionally, it provides graphical displays and quantitative
analyses of the p-values.
| Version: |
1.0 |
| Depends: |
Matrix |
| Published: |
2010-07-29 |
| Author: |
Niki Zumbrunnen, Lutz Duembgen. |
| Maintainer: |
Niki Zumbrunnen <niki.zumbrunnen at stat.unibe.ch> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
pvclass results |
Downloads: