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-4.7-any)longROC_1.0.tar.gz(r-4.6-any)
longROC_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:2d51f7aad6. Checks:2 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 149 | ||
| source / vignettes | OK | 163 | ||
| linux-release-x86_64 | NOTE | 127 | ||
| wasm-release | OK | 87 |
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 |