Package: softclassval 1.0-20160527

C. Beleites

softclassval: Soft Classification Performance Measures

An extension of sensitivity, specificity, positive and negative predictive value to continuous predicted and reference memberships in [0, 1].

Authors:C. Beleites <[email protected]>

softclassval_1.0-20160527.tar.gz
softclassval_1.0-20160527.zip(r-4.7)softclassval_1.0-20160527.zip(r-4.6)softclassval_1.0-20160527.zip(r-4.5)
softclassval_1.0-20160527.tgz(r-4.6-any)softclassval_1.0-20160527.tgz(r-4.5-any)
softclassval_1.0-20160527.tar.gz(r-4.7-any)softclassval_1.0-20160527.tar.gz(r-4.6-any)
softclassval_1.0-20160527.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
softclassval/json (API)

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

Bug tracker:https://r-forge.r-project.org/projects/softclassval

On CRAN:

Conda:

2.00 score 8 scripts 538 downloads 28 exports 2 dependencies

Last updated from:1c03665b76. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE99
source / vignettesOK140
linux-release-x86_64NOTE103
macos-release-arm64NOTE88
macos-oldrel-arm64NOTE106
windows-develNOTE80
windows-releaseNOTE110
windows-oldrelNOTE66
wasm-releaseOK89

Exports:andcheckrpconfmatconfusiondevdev<-factor2matrixgdlhardhard<-hardclasseshardenluknpvnsamplespostprocpostproc<-ppvprdsenssoftclassval.unittestspecstrongweakwMAEwMSEwRMAEwRMSE

Dependencies:arrayhelperssvUnit