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trinROC  

Statistical Tests for Assessing Trinormal ROC Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("trinROC", "0.6")



Attach the package and use:
library("trinROC")
Maintained by
Annina Cincera
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-03
Latest Update: 2022-10-27
Description:
Several statistical test functions as well as a function for exploratory data analysis to investigate classifiers allocating individuals to one of three disjoint and ordered classes. In a single classifier assessment the discriminatory power is compared to classification by chance. In a comparison of two classifiers the null hypothesis corresponds to equal discriminatory power of the two classifiers.
How to cite:
Annina Cincera (2018). trinROC: Statistical Tests for Assessing Trinormal ROC Data. R package version 0.6, https://cran.r-project.org/web/packages/trinROC
Previous versions and publish date:
0.2 (2018-09-03 12:10), 0.3.1 (2019-10-03 07:40), 0.3 (2019-05-28 18:20), 0.4 (2019-12-05 14:40), 0.5.1 (2021-06-29 21:50), 0.5 (2021-01-06 04:30)
Other packages that cited trinROC R package
View trinROC citation profile
Other R packages that trinROC depends, imports, suggests or enhances
Functions, R codes and Examples using the trinROC R package
Some associated functions: boot.test . boxcoxROC . cancer . emp.vus . findmu . krebs . roc.eda . roc3.test . rocsurf.emp . rocsurf.trin . trinROC-package . trinROC.test . trinVUS.test . 
Some associated R codes: SD_VAR.R . boot.test.R . boxcoxROC.R . cancer.R . emp.vus.R . findmu.R . krebs.R . roc.eda.R . roc3.test.R . rocsurf.emp.R . rocsurf.trin.R . trinROC.R . trinROC.test.R . trinVUS.test.R . zzz.R .  Full trinROC package functions and examples
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