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-any)ThresholdROC_2.9.6.zip(r-4.6-any)ThresholdROC_2.9.6.zip(r-4.5-any)
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
DESCRIPTION
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.

2.65 score 2 packages 37 scripts 542 downloads 9 exports 16 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK134
source / vignettesOK199
linux-release-x86_64OK154
macos-release-arm64OK123
macos-oldrel-arm64OK185
windows-develOK129
windows-releaseOK83
windows-oldrelOK133
wasm-releaseOK94

Exports:diagnosticplotCostROCsecondDer2secondDer3SSthres2thres3thresTH2thresTH3

Dependencies:FNNkernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnlmenumDerivpracmapROCRcpp