Package: vICC 1.0.1

vICC: Varying Intraclass Correlation Coefficients

Compute group-specific intraclass correlation coefficients, Bayesian testing of homogenous within-group variance, and spike-and-slab model selection to determine which groups share a common within-group variance in a one-way random effects model <10.31234/osf.io/hpq7w>.

Authors:Donald Williams [aut, cre]

vICC_1.0.1.tar.gz
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vICC.pdf |vICC.html✨
vICC/json (API)

# Install 'vICC' in R:
install.packages('vICC', repos = c('https://donaldrwilliams.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/donaldrwilliams/vicc/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • flanker - Data: Flanker Task data from Hedge et al. (2018).

On CRAN:

3.54 score 7 stars 3 scripts 150 downloads 6 exports 32 dependencies

Last updated 4 years agofrom:c85fee33b0. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winNOTEOct 29 2024
R-4.5-linuxNOTEOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winNOTEOct 29 2024
R-4.3-macNOTEOct 29 2024

Exports:change_groupfixefpipposterior_samplesranefvicc

Dependencies:clicodacolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRdpackrjagsrlangscalestibbleutf8vctrsviridisLitewithr