Short background of the tests | VUS based statistical tests | The trinormal based ROC test | Testing and comparing markers | Single marker assessment | Comparison of two paired or unpaired markers | Calcuating empirical power curves | Additional functionality of the package | How to apply the EDA function | Computing the (empirical) VUS | Transforming non-normal data using boxcoxROC | An omnibus analysis using the function roc3.test | Some final Remarks | References
Package: trinROC 0.7
Reinhard Furrer
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. See also "ROC Analysis for Classification and Prediction in Practice" by Nakas, Bantis and Gatsonis (2023), ISBN 9781482233704.
Authors:
trinROC_0.7.tar.gz
trinROC_0.7.tar.gz(r-4.7-any)trinROC_0.7.tar.gz(r-4.6-any)
trinROC_0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
trinROC/json (API)
| # Install 'trinROC' in R: |
| install.packages('trinROC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:da71b33879. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 184 | ||
| source / vignettes | OK | 178 | ||
| linux-release-x86_64 | OK | 158 | ||
| wasm-release | OK | 191 |
Exports:boot.testboxcoxROCemp.vusfindmuroc.edaroc3.testrocsurf.emprocsurf.trintrinROC.testtrinVUS.test
Dependencies:base64encbslibcachemclicpp11digestevaluatefarverfastmapfontawesomefsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglifecyclemagrittrmemoisemimeR6rappdirsRColorBrewerrglrlangrmarkdownS7sassscalestinytexvctrsviridisLitewithrxfunyaml
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 |