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CsChange  

Testing for Change in C-Statistic
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CsChange", "0.1.7")



Attach the package and use:
library("CsChange")
Maintained by
Zhicheng Du
[Scholar Profile | Author Map]
First Published: 2017-12-05
Latest Update: 2023-04-11
Description:
Calculate the confidence interval and p value for change in C-statistic. The adjusted C-statistic is calculated by using formula as "Somers' Dxy rank correlation"/2+0.5. The confidence interval was calculated by using the bootstrap method. The p value was calculated by using the Z testing method. Please refer to the article of Peter Ganz et al. (2016) .
How to cite:
Zhicheng Du (2017). CsChange: Testing for Change in C-Statistic. R package version 0.1.7, https://cran.r-project.org/web/packages/CsChange. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-12-05 10:39), 0.1.1 (2017-12-18 15:55), 0.1.2 (2018-01-04 05:35), 0.1.3 (2018-01-27 07:41), 0.1.4 (2018-06-13 09:05), 0.1.5 (2018-12-11 22:30), 0.1.6 (2020-07-18 16:22)
Other packages that cited CsChange R package
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Other R packages that CsChange depends, imports, suggests or enhances
Complete documentation for CsChange
Functions, R codes and Examples using the CsChange R package
Some associated functions: CsChange . 
Some associated R codes: CsChange.R .  Full CsChange package functions and examples
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