Package: ThresholdROC 2.9.4

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]

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ThresholdROC.pdf |ThresholdROC.html
ThresholdROC/json (API)

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

Peer review:

Datasets:
  • AD - Alzheimer's disease data
  • chemo - Response to chemotherapy data set

On CRAN:

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

9 exports 0.71 score 17 dependencies 1 dependents 25 scripts 462 downloads

Last updated 5 months agofrom:9392d56b1d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 29 2024
R-4.5-winOKAug 29 2024
R-4.5-linuxOKAug 29 2024
R-4.4-winOKAug 29 2024
R-4.4-macOKAug 29 2024
R-4.3-winOKAug 29 2024
R-4.3-macOKAug 29 2024

Exports:diagnosticplotCostROCsecondDer2secondDer3SSthres2thres3thresTH2thresTH3

Dependencies:FNNkernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnlmenumDerivplyrpracmapROCRcpp