intraclass: Modern Intraclass Correlation Coefficients

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 .

See also

Useful links:

• https://github.com/jmgirard/intraclass

• https://jmgirard.github.io/intraclass/

• https://github.com/jmgirard/intraclass-paper

• Report bugs at https://github.com/jmgirard/intraclass/issues

Author

Maintainer: Jeffrey Girard me@jmgirard.com (ORCID)

Authors:

• Jeffrey Girard me@jmgirard.com (ORCID)