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>.
| Version: | 2.9.0 |
| Depends: | R (≥ 3.1) |
| Imports: | MASS, numDeriv, pROC, ks |
| Published: | 2021-07-30 |
| Author: | Sara Perez-Jaume, Natalia Pallares, Konstantina Skaltsa |
| Maintainer: | Sara Perez-Jaume <spjaume at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | ThresholdROC citation info |
| CRAN checks: | ThresholdROC results |
| Reference manual: | ThresholdROC.pdf |
| Package source: | ThresholdROC_2.9.0.tar.gz |
| Windows binaries: | r-devel: ThresholdROC_2.9.0.zip, r-release: ThresholdROC_2.9.0.zip, r-oldrel: ThresholdROC_2.9.0.zip |
| macOS binaries: | r-release (arm64): ThresholdROC_2.9.0.tgz, r-oldrel (arm64): ThresholdROC_2.9.0.tgz, r-release (x86_64): ThresholdROC_2.9.0.tgz, r-oldrel (x86_64): ThresholdROC_2.9.0.tgz |
| Old sources: | ThresholdROC archive |
| Reverse imports: | ThresholdROCsurvival |
Please use the canonical form https://CRAN.R-project.org/package=ThresholdROC to link to this page.