Package: ThresholdROC 2.9.6

ThresholdROC: Optimum Threshold Estimation

Functions that provide point and interval estimations of optimum thresholds for continuous diagnostic tests. The methodology used is based on minimizing an overall cost function in the two- and three-state settings. We also provide functions for sample size determination and estimation of diagnostic accuracy measures. We also include graphical tools. The statistical methodology used here can be found in Perez-Jaume et al (2017) <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012) <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.

Authors:Sara Perez-Jaume [aut, cre], Natalia Pallares [aut], Konstantina Skaltsa [aut]

ThresholdROC_2.9.6.tar.gz
ThresholdROC_2.9.6.zip(r-4.7)ThresholdROC_2.9.6.zip(r-4.6)ThresholdROC_2.9.6.zip(r-4.5)
ThresholdROC_2.9.6.tgz(r-4.6-any)ThresholdROC_2.9.6.tgz(r-4.5-any)
ThresholdROC_2.9.6.tar.gz(r-4.7-any)ThresholdROC_2.9.6.tar.gz(r-4.6-any)
ThresholdROC_2.9.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
ThresholdROC/json (API)

# Install 'ThresholdROC' in R:
install.packages('ThresholdROC', repos = c('https://spjaume.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • AD - Alzheimer's disease data
  • chemo - Response to chemotherapy data

On CRAN:

Conda:

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

2.64 score 2 packages 36 scripts 647 downloads 9 exports 16 dependencies

Last updated from:68755a3ca1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK176
linux-release-x86_64OK150
macos-release-arm64OK98
macos-oldrel-arm64OK105
windows-develOK98
windows-releaseOK122
windows-oldrelOK83
wasm-releaseOK87

Exports:diagnosticplotCostROCsecondDer2secondDer3SSthres2thres3thresTH2thresTH3

Dependencies:FNNkernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnlmenumDerivpracmapROCRcpp