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rocbc  

Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
View on CRAN: Click here


Download and install rocbc package within the R console
Install from CRAN:
install.packages("rocbc")

Install from Github:
library("remotes")
install_github("cran/rocbc")

Install by package version:
library("remotes")
install_version("rocbc", "3.1.0")



Attach the package and use:
library("rocbc")
Maintained by
Benjamin Brewer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-20
Latest Update: 2023-04-04
Description:
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) ) are of interest or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT, Reiser B. (2021) ) 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.
How to cite:
Benjamin Brewer (2022). rocbc: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves. R package version 3.1.0, https://cran.r-project.org/web/packages/rocbc. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2022-09-20 10:56), 0.1.1 (2022-09-27 09:30), 0.2.0 (2022-11-16 01:30), 0.3.0 (2022-12-21 17:30), 1.1.0 (2023-04-04 04:30), 2.0.0 (2023-11-16 16:50), 3.0.0 (2024-03-26 00:30)
Other packages that cited rocbc R package
View rocbc citation profile
Other R packages that rocbc depends, imports, suggests or enhances
Complete documentation for rocbc
Functions, R codes and Examples using the rocbc R package
Some associated functions: checkboxcox . checkboxcox2 . comparebcAUC . comparebcJ . comparebcSens . comparebcSpec . rocboxcox . rocboxcoxCI . 
Some associated R codes: checkboxcox.R . checkboxcox2.R . comparebcAUC.R . comparebcJ.R . comparebcSens.R . comparebcSpec.R . rocboxcox.R . rocboxcoxCI.R .  Full rocbc package functions and examples
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