Package: OptimalCutpoints 1.1-5
Monica Lopez Raton
OptimalCutpoints: Computing Optimal Cutpoints in Diagnostic Tests
Computes optimal cutpoints for diagnostic tests or continuous markers. Various approaches for selecting optimal cutoffs have been implemented, including methods based on cost-benefit analysis and diagnostic test accuracy measures (Sensitivity/Specificity, Predictive Values and Diagnostic Likelihood Ratios). Numerical and graphical output for all methods is easily obtained.
Authors:
OptimalCutpoints_1.1-5.tar.gz
OptimalCutpoints_1.1-5.tar.gz(r-4.5-noble)OptimalCutpoints_1.1-5.tar.gz(r-4.4-noble)
OptimalCutpoints_1.1-5.tgz(r-4.4-emscripten)OptimalCutpoints_1.1-5.tgz(r-4.3-emscripten)
OptimalCutpoints.pdf |OptimalCutpoints.html✨
OptimalCutpoints/json (API)
NEWS
# Install 'OptimalCutpoints' in R: |
install.packages('OptimalCutpoints', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- elas - Leukocyte Elastase Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:bae92c99cd. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 13 2024 |
R-4.5-linux | OK | Dec 13 2024 |
Exports:control.cutpointsoptimal.cutpointsoptimal.cutpoints.defaultoptimal.cutpoints.formulaplot.optimal.cutpointsprint.optimal.cutpointssummary.optimal.cutpoints
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Computing Optimal Cutpoints in Diagnostic Tests | OptimalCutpoints-package OptimalCutpoints |
Controlling the optimal-cutpoint selection process | control.cutpoints |
Leukocyte Elastase Data | elas |
Computing Optimal Cutpoints in diagnostic tests | optimal.cutpoints optimal.cutpoints.default optimal.cutpoints.formula |
Default optimal.cutpoints plotting | plot.optimal.cutpoints |
Print method for optimal.cutpoints objects | print.optimal.cutpoints |
Summary method for optimal.cutpoints objects | summary.optimal.cutpoints |