Package: movieROC 0.1.1

Sonia Perez-Fernandez

movieROC:Visualizing the Decision Rules Underlying Binary Classification

Visualization of decision rules for binary classification and Receiver Operating Characteristic (ROC) curve estimation under different generalizations proposed in the literature: - making the classification subsets flexible to cover those scenarios where both extremes of the marker are associated with a higher risk of being positive, considering two thresholds (gROC() function); - transforming the marker by a proper function trying to improve the classification performance (hROC() function); - when dealing with multivariate markers, considering a proper transformation to univariate space trying to maximize the resulting AUC of the TPR for each FPR (multiROC() function). The classification regions behind each point of the ROC curve are displayed in both static graphics (plot_buildROC(), plot_regions() or plot_funregions() function) or videos (movieROC() function).

Authors:Sonia Perez-Fernandez [aut, cre]

movieROC_0.1.1.tar.gz
movieROC_0.1.1.tar.gz(r-4.5-noble)movieROC_0.1.1.tar.gz(r-4.4-noble)
movieROC_0.1.1.tgz(r-4.4-emscripten)movieROC_0.1.1.tgz(r-4.3-emscripten)
movieROC.pdf |movieROC.html✨
movieROC/json (API)

# InstallmovieROC in R:

install.packages('movieROC',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/perezsonia/movieroc/issues

Datasets:

HCC - Hepatocellular carcinoma data

30 exports 0.09 score 97 dependencies 142 downloads

Last updated 7 days agofrom:cecdb480d0

Exports:gROC gROC_param gROC.default hROC hROC.default movieROC movieROC.groc movieROC.multiroc movieROC2_densities multiROC multiROC.default plot_buildROC plot_buildROC.groc plot_buildROC.multiroc plot_densities plot_densityROC plot_funregions plot_funregions.groc plot_funregions.hroc plot_regions plot_regions.groc plot_regions.hroc plot.groc plot.hroc plot.multiroc predict.groc predict.hroc print.groc print.hroc print.multiroc

Dependencies:animation backports base64enc bslib cachem checkmate class cli cluster codetools colorspace curl data.table DEoptimR digest e1071 evaluate fansi farver fastmap FNN fontawesome foreign Formula fs ggplot2 glue gridExtra gtable gtools highr Hmisc htmlTable htmltools htmlwidgets intrval isoband jquerylib jsonlite kernlab KernSmooth knitr ks labeling lattice lifecycle magick magrittr MASS Matrix MatrixModels mclust memoise mgcv mime multcomp multicool munsell mvtnorm nlme nnet pillar pkgconfig polspline pracma proxy quantreg R6 rappdirs RColorBrewer Rcpp rlang rmarkdown rms robustbase rpart Rsolnp rstudioapi sandwich sass scales SparseM stringi stringr survival TH.data tibble tinytex truncnorm utf8 vctrs viridis viridisLite withr xfun yaml zoo

movieROC vignette

Rendered frommovieROC_vignette.pdf.asisusingR.rsp::asison Jun 29 2024.

Last update: 2024-06-29
Started: 2024-06-29

Help page	Topics
Build a ROC curve for a univariate marker	gROC gROC.default
Build a binormal ROC curve for a univariate marker	gROC_param
Hepatocellular carcinoma data	HCC
Build a ROC curve for a transformation of a univariate marker	hROC hROC.default
Create a video with the building procedure of the ROC curve	movieROC movieROC.groc movieROC.multiroc
Create a video with the building procedure of the smooth ROC curve estimate	movieROC2_densities
Build a ROC curve for a multivariate marker with dimension p	multiROC multiROC.default
Plot an ROC curve	plot plot.groc plot.hroc plot.multiroc
Plot the building procedure of the ROC curve	plot_buildROC plot_buildROC.groc plot_buildROC.multiroc
Plot density function estimates for controls and cases	plot_densities
Plot standard smooth ROC curve estimate	plot_densityROC
Plot the transformation function used for the marker	plot_funregions plot_funregions.groc plot_funregions.hroc
Plot the classification regions underlying a ROC curve	plot_regions plot_regions.groc plot_regions.hroc
Predict the classification regions for a particular specificity	predict predict.groc predict.hroc
Print an ROC curve object	print.groc print.hroc print.multiroc

Package: movieROC 0.1.1

movieROC:Visualizing the Decision Rules Underlying Binary Classification

movieROC vignette

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)