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reportROC  

An Easy Way to Report ROC Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("reportROC", "3.6")



Attach the package and use:
library("reportROC")
Maintained by
Zhicheng Du
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-17
Latest Update: 2022-06-17
Description:
Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy), SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR (negative likelihood ratio), PPV (positive predictive value), NPV (negative predictive value), PPA (percentage of positive accordance), NPA (percentage of negative accordance), TPA (percentage of total accordance), KAPPA (kappa value).
How to cite:
Zhicheng Du (2017). reportROC: An Easy Way to Report ROC Analysis. R package version 3.6, https://cran.r-project.org/web/packages/reportROC. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0 (2017-04-17 19:38), 2.0 (2017-10-12 15:29), 3.0 (2017-10-30 11:24), 3.1 (2018-08-02 11:40), 3.2 (2018-09-02 17:30), 3.3 (2019-04-08 07:00), 3.4 (2019-07-29 19:10), 3.5 (2020-07-21 08:30)
Other packages that cited reportROC R package
View reportROC citation profile
Other R packages that reportROC depends, imports, suggests or enhances
Complete documentation for reportROC
Functions, R codes and Examples using the reportROC R package
Some associated functions: aSAH . reportROC . 
Some associated R codes: reportROC.R .  Full reportROC package functions and examples
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