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:
ThresholdROC_2.9.4.tar.gz
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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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:9392d56b1d. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 28 2024 |
| R-4.5-win | OK | Oct 28 2024 |
| R-4.5-linux | OK | Oct 28 2024 |
| R-4.4-win | OK | Oct 28 2024 |
| R-4.4-mac | OK | Oct 28 2024 |
| R-4.3-win | OK | Oct 28 2024 |
| R-4.3-mac | OK | Oct 28 2024 |
Exports:diagnosticplotCostROCsecondDer2secondDer3SSthres2thres3thresTH2thresTH3
Dependencies:FNNkernlabKernSmoothkslatticeMASSMatrixmclustmgcvmulticoolmvtnormnlmenumDerivplyrpracmapROCRcpp
