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adjROC  

Computing Sensitivity at a Fix Value of Specificity and Vice Versa as Well as Bootstrap Metrics for ROC Curves
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("adjROC", "0.3")



Attach the package and use:
library("adjROC")
Maintained by
E. F. Haghish
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-21
Latest Update: 2023-01-25
Description:
For a binary classification the adjusted sensitivity and specificity are measured for a given fixed threshold. If the threshold for either sensitivity or specificity is not given, the crossing point between the sensitivity and specificity curves are returned. For bootstrap procedures, mean and CI bootstrap values of sensitivity, specificity, crossing point between specificity and specificity as well as AUC and AUCPR can be evaluated.
How to cite:
E. F. Haghish (2022). adjROC: Computing Sensitivity at a Fix Value of Specificity and Vice Versa as Well as Bootstrap Metrics for ROC Curves. R package version 0.3, https://cran.r-project.org/web/packages/adjROC. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2022-03-21 19:50), 0.2.0 (2022-03-23 14:30)
Other packages that cited adjROC R package
View adjROC citation profile
Other R packages that adjROC depends, imports, suggests or enhances
Complete documentation for adjROC
Functions, R codes and Examples using the adjROC R package
Some associated functions: adjroc . boot.adjroc . boot.roc . 
Some associated R codes: adjroc.R . boot.adjroc.R . boot.roc.R .  Full adjROC package functions and examples
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