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adjROC
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]
[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 21 Nov. 2024.
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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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