vICC R package¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
The vICC R package is an R software implementation of Bayesian tests for within-person variance homogeneity and membership models, released by the article's authors for researchers analyzing repeated-measures data.
Components¶
- vICC R package for Bayesian testing of within-person variance homogeneity: The vICC R package is the software implementation of the article's methods. The article states that "The methods are implemented in the R package vICC", making the Bayes factor test of homogeneous within-person variance and the membership model available to researchers working in R. It serves as the released artifact through which the individually varying ICC approach can be applied to hierarchical models of repeated-measures data. (Donald Williams et al. (2021))
Claims¶
- Few individuals belong to the common within-person variance model, so traditional reliability indices may mask individual variation [+W]
- Within-person variance in cognitive inhibition tasks is heterogeneous, with person-specific reliability differing up to tenfold [+W]
Related Products and Programmes¶
Key Sources¶
- Donald Williams, Stephen Martin, Phillipe Rast. (2021). Putting the individual into reliability: Bayesian testing of homogeneous within-person variance in hierarchical models. Behavior Research Methods. https://doi.org/10.3758/s13428-021-01646-x
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
vicc-r-package |
title |
vICC R package |
description |
The vICC R package is an R software implementation of Bayesian tests for within-person variance homogeneity and membership models, released by the article's authors for researchers analyzing repeated-measures data. |
status |
review |
moved_from |
element/vicc-r-package |
product_kind |
software |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — donald-williams-2021 |
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