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intraclass  

Modern Intraclass Correlation Coefficients
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("intraclass", "0.1.0")



Attach the package and use:
library("intraclass")
Maintained by
Jeffrey Girard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-10
Latest Update: 2026-09-10
Description:
Estimates interrater-reliability intraclass correlation coefficients (ICCs) within the generalizability-theory framework using modern variance-component estimation (linear mixed models) rather than the classical analysis-of-variance mean-squares approach. Provides the full ICC family (absolute agreement versus consistency, single versus average, fixed versus random raters, one-way versus two-way) with boundary-aware Monte-Carlo confidence intervals, support for imbalanced, incomplete, and multilevel (nested) designs, decision-study projection to other numbers of raters, and an interactive helper for choosing the correct coefficient. Multilevel methods follow ten Hove, Jorgensen and van der Ark (2022) <doi:10.1037/met0000391>.
How to cite:
Jeffrey Girard (2026). intraclass: Modern Intraclass Correlation Coefficients. R package version 0.1.0, https://cran.r-project.org/web/packages/intraclass. Accessed 20 Oct. 2026.
Previous versions and publish date:
(2026-10-20 06:10), 0.1.0 (2026-09-10 17:10)
Other packages that cited intraclass R package
View intraclass citation profile
Other R packages that intraclass depends, imports, suggests or enhances
Complete documentation for intraclass
Functions, R codes and Examples using the intraclass R package
Full intraclass package functions and examples
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