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ROCpsych  

Compute and Compare Diagnostic Test Statistics Across Groups
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ROCpsych", "1.3")



Attach the package and use:
library("ROCpsych")
Maintained by
Shenghai Dai
[Scholar Profile | Author Map]
First Published: 2020-08-17
Latest Update: 2020-08-17
Description:
Functions for (1) computing diagnostic test statistics (sensitivity, specificity, etc.) from confusion matrices with adjustment for various base rates or known prevalence based on McCaffrey et al (2003) , (2) computing optimal cut-off scores with different criteria including maximizing sensitivity, maximizing specificity, and maximizing the Youden Index from Youden (1950) , and (3) displaying and comparing classification statistics and area under the receiver operating characteristic (ROC) curves or area under the curves (AUC) across consecutive categories for ordinal variables.
How to cite:
Shenghai Dai (2020). ROCpsych: Compute and Compare Diagnostic Test Statistics Across Groups. R package version 1.3, https://cran.r-project.org/web/packages/ROCpsych. Accessed 27 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited ROCpsych R package
View ROCpsych citation profile
Other R packages that ROCpsych depends, imports, suggests or enhances
Complete documentation for ROCpsych
Functions, R codes and Examples using the ROCpsych R package
Some associated functions: PV.BR . ROC.data.ex . ROC.stats . cutscores . group.auc.test . group.to.vars . 
Some associated R codes: Full ROCpsych package functions and examples
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