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:Leonidas Bantis [aut], Benjamin Brewer [cre, ctb], Christos Nakas [ctb], Benjamin Reiser [ctb]

rocbc_3.1.0.tar.gz
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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.

2.48 score 2 scripts 582 downloads 10 exports 65 dependencies

Last updated 7 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:checkboxcox checkboxcox2 comparebcAUC comparebcJ comparebcSens comparebcSpec rocboxcox rocboxcoxCI threerocs threerocs2

Dependencies:base64enc bslib cachem cli clinfun colorspace crayon digest evaluate fansi farver fastmap fontawesome formattable fs ggplot2 glue gtable highr hms htmltools htmlwidgets isoband jquerylib jsonlite knitr labeling lattice lifecycle magrittr MASS Matrix memoise mgcv mime MRMCaov munsell mvtnorm nlme pillar pkgconfig plyr pracma prettyunits pROC progress R6 rappdirs RColorBrewer Rcpp rlang rmarkdown sass scales sp splancs tibble tinytex trust utf8 vctrs viridisLite withr xfun yaml

rocbc

LE Bantis, B Brewer, CT Nakas, B Reiser

Rendered fromdocumentation_rocbc.Rmdusingknitr::knitron Oct 31 2024.

Last update: 2024-04-23
Started: 2022-09-20

Help page	Topics
Tests whether Box-Cox is appropriate for the given dataset (one-marker version)	checkboxcox
Tests whether Box-Cox is appropriate for the given dataset (two-marker version)	checkboxcox2
Performs inference to compare the AUCs of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given nominal level	comparebcAUC
Performs inference to compare the Youden Indices of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given nominal level	comparebcJ
Performs inference to compare the sensitivities of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given specificty and a given nominal level	comparebcSens
Performs inference to compare the specificities of two correlated (or uncorrelated) Box-Cox transformed biomarkers at a given sensitivity and a given nominal level	comparebcSpec
Comprehensive Box-Cox ROC analysis for a single marker	rocboxcox
Inference around the sensitivity at a given specificity (and vice versa) for a single Box-Cox transformed biomarker	rocboxcoxCI
Provides visual comparison of three ROC estimation methods (one-marker version)	threerocs
Provides visual comparison of three ROC estimation methods (two-marker version)	threerocs2

Package: rocbc 3.1.0

rocbc: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves

rocbc

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