Package: longROC 1.0
Alessio Farcomeni
longROC: Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio Markers or Scores
Time-dependent Receiver Operating Characteristic curves, Area Under the Curve, and Net Reclassification Indexes for repeated measures. It is based on methods in Barbati and Farcomeni (2017) <doi:10.1007/s10260-017-0410-2>.
Authors:
longROC_1.0.tar.gz
longROC_1.0.tar.gz(r-4.5-noble)longROC_1.0.tar.gz(r-4.4-noble)
longROC_1.0.tgz(r-4.4-emscripten)longROC_1.0.tgz(r-4.3-emscripten)
longROC.pdf |longROC.html✨
longROC/json (API)
| # Install 'longROC' in R: |
| install.packages('longROC', repos = c('https://cran.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 years agofrom:2d51f7aad6. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 18 2024 |
| R-4.5-linux | NOTE | Dec 18 2024 |
Exports:aucbutstrapbutstrap.nributstrap.smaxaucmaxauc.snriplotAUCplotAUC.splotROCrocroc.ssensspecsensspec.s
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| AUC | auc |
| Bootstrapping AUC | butstrap |
| Bootstrapping NRI | butstrap.nri |
| Bootstrapping AUC | butstrap.s |
| Optimal Score | maxauc |
| Optimal Score | maxauc.s |
| NRI | nri |
| AUC as a function of time | plotAUC |
| AUC as a function of time | plotAUC.s |
| Plot ROC | plotROC |
| ROC curve | roc |
| ROC curve | roc.s |
| Sensitivity and Specificity | sensspec |
| Sensitivity and Specificity | sensspec.s |