Package: rocbc 3.1.0
Benjamin Brewer
rocbc: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
Generation of Box-Cox based ROC curves and several aspects of inferences and hypothesis testing. Can be used when inferences for one biomarker (Bantis LE, Nakas CT, Reiser B. (2018)<doi:10.1002/bimj.201700107>) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021)<doi:10.1002/bimj.202000128>) are of interest. Provides inferences and comparisons around the AUC, the Youden index, the sensitivity at a given specificity level (and vice versa), the optimal operating point of the ROC curve (in the Youden sense), and the Youden based cutoff.
Authors:
rocbc_3.1.0.tar.gz
rocbc_3.1.0.tar.gz(r-4.5-noble)rocbc_3.1.0.tar.gz(r-4.4-noble)
rocbc_3.1.0.tgz(r-4.4-emscripten)rocbc_3.1.0.tgz(r-4.3-emscripten)
rocbc.pdf |rocbc.html✨
rocbc/json (API)
# Install 'rocbc' in R: |
install.packages('rocbc', 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 8 months agofrom:4da1ad95a7. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
Exports:checkboxcoxcheckboxcox2comparebcAUCcomparebcJcomparebcSenscomparebcSpecrocboxcoxrocboxcoxCIthreerocsthreerocs2
Dependencies:base64encbslibcachemcliclinfuncolorspacecrayondigestevaluatefansifarverfastmapfontawesomeformattablefsggplot2gluegtablehighrhmshtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeMRMCaovmunsellmvtnormnlmepillarpkgconfigplyrpracmaprettyunitspROCprogressR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesspsplancstibbletinytextrustutf8vctrsviridisLitewithrxfunyaml