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.
| Version: |
1.4 |
| Imports: |
Matrix |
| Published: |
2017-06-05 |
| Author: |
Niki Zumbrunnen,
Lutz Duembgen. |
| Maintainer: |
Niki Zumbrunnen <niki.zumbrunnen at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Citation: |
pvclass citation info |
| CRAN checks: |
pvclass results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=pvclass
to link to this page.