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concordancer  

An "Rcpp" Implementation of Lin"s Concordance Correlation Coefficient (CCC)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("concordancer", "1.0.2")



Attach the package and use:
library("concordancer")
Maintained by
Troy J Cross
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-07-21
Latest Update: 2023-07-21
Description:
Lin's Concordance Correlation Coefficient (CCC) is a statistic which measures the degree of agreement between two variables. The CCC is useful for assessing (i) the measurement agreement between two variables (typically outputs between two devices); (ii) the reproducibility between two measurements obtained from the same device; and (iii) inter-rater reliability. The 'concordancer' package provides a 'C++' implementation of Lin's CCC via 'Rcpp'. In so doing, the ccc() function contained herein is a much faster implementation than those contained in other R packages. For more details on Lin's CCC, please see .
How to cite:
Troy J Cross (2023). concordancer: An "Rcpp" Implementation of Lin"s Concordance Correlation Coefficient (CCC). R package version 1.0.2, https://cran.r-project.org/web/packages/concordancer. Accessed 23 Apr. 2025.
Previous versions and publish date:
1.0.2 (2023-07-21 10:00)
Other packages that cited concordancer R package
View concordancer citation profile
Other R packages that concordancer depends, imports, suggests or enhances
Functions, R codes and Examples using the concordancer R package
Some associated functions: ccc . concordancer-package . 
Some associated R codes: RcppExports.R . ccc.R . concordancer-package.R .  Full concordancer package functions and examples
Downloads during the last 30 days
03/2703/2804/0204/0604/1204/17Downloads for concordancer0.811.21.41.61.822.22.42.62.833.2TrendBars

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