Package: trinROC 0.6
Annina Cincera
trinROC: Statistical Tests for Assessing Trinormal ROC Data
Several statistical test functions as well as a function for exploratory data analysis to investigate classifiers allocating individuals to one of three disjoint and ordered classes. In a single classifier assessment the discriminatory power is compared to classification by chance. In a comparison of two classifiers the null hypothesis corresponds to equal discriminatory power of the two classifiers.
Authors:
trinROC_0.6.tar.gz
trinROC_0.6.tar.gz(r-4.5-noble)trinROC_0.6.tar.gz(r-4.4-noble)
trinROC_0.6.tgz(r-4.4-emscripten)trinROC_0.6.tgz(r-4.3-emscripten)
trinROC.pdf |trinROC.html✨
trinROC/json (API)
NEWS
| # Install 'trinROC' in R: |
| install.packages('trinROC', 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 2 years agofrom:a3c96fffe4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 24 2024 |
| R-4.5-linux | OK | Aug 24 2024 |
Exports:boot.testboxcoxROCemp.vusfindmuroc.edaroc3.testrocsurf.emprocsurf.trintrinROC.testtrinVUS.test
Dependencies:base64encbslibcachemclicolorspacedigestevaluatefansifarverfastmapfontawesomefsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigR6rappdirsRColorBrewerrglrlangrmarkdownsassscalestibbletinytexutf8vctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| trinROC: Statistical Tests for Assessing Trinormal ROC Data | trinROC-package trinROC |
| Bootstrap test for three-class ROC data | boot.test |
| Box-Cox transformation on three-class ROC data | boxcoxROC |
| Synthetic data set to investigate three-class ROC data. | cancer |
| Empirical VUS calculation | emp.vus |
| Determine equidistant means of trinormal ROC data simulation | findmu |
| Synthetic small data set to investigate three-class ROC data. | krebs |
| Exploratory data analysis for a three-class ROC marker | roc.eda |
| Statistical test function for computing multiple tests on three-class ROC data | roc3.test |
| Empirical ROC surface plot | rocsurf.emp |
| Trinormal ROC surface plot | rocsurf.trin |
| Trinormal based ROC test | trinROC.test |
| Trinormal VUS test | trinVUS.test |