Package index • intraclass

Choosing a coefficient

An interactive decision helper that recommends which ICC to report and emits the exact icc() call that computes it — no fitting, teaching-first.

choose_icc() format(<intraclass_recommendation>) print(<intraclass_recommendation>): Recommend an ICC and the call that computes it

Estimating an ICC

The workhorse. Fit variance components with a modern mixed model and compute the intraclass correlation for a stated design: absolute agreement vs. consistency, single vs. average, fixed vs. random raters, one-way vs. two-way, multilevel (subject vs. cluster level, crossed or nested), and incomplete (ragged) data — all with boundary-aware Monte-Carlo confidence intervals. The print(), summary(), tidy(), glance(), autoplot() (coefficient forest / variance-component decomposition), plot() and model_parameters() methods are documented on this page.

autoplot.intraclass_icc() plot(<intraclass_icc>) format(<intraclass_icc>) print(<intraclass_icc>) summary(<intraclass_icc>) tidy(<intraclass_icc>) glance(<intraclass_icc>) icc() model_parameters.intraclass_icc(): Intraclass correlation coefficients for interrater reliability

Decision (D-) studies

Project a fitted ICC’s reliability to other numbers of raters and plot the curve, plus its tidy()/glance()/autoplot()/plot() methods.

autoplot.intraclass_dstudy() plot(<intraclass_dstudy>) d_study() format(<intraclass_dstudy>) print(<intraclass_dstudy>) tidy(<intraclass_dstudy>) glance(<intraclass_dstudy>) experimental: Project reliability to other numbers of raters

Tidy methods

Broom generics re-exported so tidy() and glance() resolve without attaching the generics package.

reexports tidy glance: Objects exported from other packages

Datasets

Worked rater-reliability examples used across the docs and vignettes.

ratings: Rater reliability example (Shrout & Fleiss, 1979)
ratings_incomplete: Rater reliability example with missing cells
school: Simulated multilevel ratings: pupils nested in classrooms
school_incomplete: Simulated multilevel ratings with missing cells
ratings_replicates: Simulated ratings with three ratings per subject-rater cell
ratings_twoway: Simulated balanced two-way ratings, twenty subjects by four raters

Package overview

intraclass intraclass-package: intraclass: Modern Intraclass Correlation Coefficients