Package: pvclass 1.4.1

Niki Zumbrunnen

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.

Authors:Niki Zumbrunnen [aut, cre], Lutz Duembgen. [aut]

pvclass_1.4.1.tar.gz
pvclass_1.4.1.zip(r-4.7-any)pvclass_1.4.1.zip(r-4.6-any)
pvclass_1.4.1.tar.gz(r-4.7-any)pvclass_1.4.1.tar.gz(r-4.6-any)
pvclass_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pvclass/json (API)

# Install 'pvclass' in R:
install.packages('pvclass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.11 score 13 scripts 192 downloads 11 exports 2 dependencies

Last updated from:f82aa6280f. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK117
source / vignettesOK176
linux-releaseOK126
windows-develOK88
windows-releaseOK92
wasm-releaseOK100

Exports:analyze.pvscvpvscvpvs.gaussiancvpvs.knncvpvs.logregcvpvs.wnnpvspvs.gaussianpvs.knnpvs.logregpvs.wnn

Dependencies:latticeMatrix