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movieROC
View on CRAN: Click
here
Download and install movieROC package within the R console
Install from CRAN:
install.packages("movieROC")
Install from Github:
library("remotes")
install_github("cran/movieROC")
Install by package version:
library("remotes")
install_version("movieROC", "0.1.2")
Attach the package and use:
library("movieROC")
Maintained by
Sonia Perez-Fernandez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.movieROC . https://github.com/perezsonia/movieROC/issues . movieROC results . movieROC.pdf . movieROC vignette . movieROC_0.1.2.tar.gz . movieROC_0.1.2.zip . movieROC_0.1.2.zip . movieROC_0.1.2.zip . movieROC_0.1.2.tgz . movieROC_0.1.2.tgz . movieROC_0.1.2.tgz . movieROC_0.1.2.tgz . movieROC_0.1.2.tgz . movieROC_0.1.2.tgz . movieROC archive . https://CRAN.R-project.org/package=movieROC .
First Published: 2024-02-05
Latest Update: 2024-02-05
Description:
Visualization of decision rules for binary classification and Receiver Operating Characteristic (ROC) curve estimation under different generalizations:
- 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 curve);
- transforming the marker by a function either defined by the user or resulting from a logistic
regression model (hROC curve);
- considering a linear transformation with some fixed parameters introduced by the user,
dynamic parameters or empirically maximizing TPR for each FPR for a bivariate marker.
Also a quadratic transformation with particular coefficients or a function fitted by a logistic
regression model can be considered (biROC curve);
- considering a linear transformation with some fixed parameters introduced by the user,
dynamic parameters or a function fitted by a logistic regression model (multiROC curve).
The classification regions behind each point of the ROC curve are displayed in both fixed
graphics (plot.buildROC(), plot.regions() or plot.funregions() function) or videos (movieROC()
function).
How to cite:
Sonia Perez-Fernandez (2024). movieROC: Visualizing the Decision Rules Underlying Binary Classification. R package version 0.1.2, https://cran.r-project.org/web/packages/movieROC. Accessed 30 Mar. 2025.
Other packages that cited movieROC R package
View movieROC citation profile
Other R packages that movieROC depends,
imports, suggests or enhances
Complete documentation for movieROC
Functions, R codes and Examples using
the movieROC R package
Some associated functions: HCC . biROC . gROC . gROC_param . hROC . movieROC . movieROC2_densities . multiROC.default . plot.buildROC . plot.funregions . plot . plot.regions . plot_densities . plot_densityROC . predict . print .
Some associated R codes: KangFunctions.R . biROC.R . gROC.R . hROC.R . maxTPR_pkg.R . movieROC.R . movieROC2_densities.R . multiROC.R . plot.R . plot.buildROC.R . plot.funregions.R . plot.regions.R . plot_densities.R . plot_densityROC.R . plot_minmaxROC.R . predict.R . print.R . Full movieROC package functions and examples
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