Package: vICC 1.0.0

Donald Williams

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_1.0.0.tar.gz
vICC_1.0.0.tar.gz(r-4.5-noble)vICC_1.0.0.tar.gz(r-4.4-noble)
vICC_1.0.0.tgz(r-4.4-emscripten)vICC_1.0.0.tgz(r-4.3-emscripten)
vICC.pdf |vICC.html
vICC/json (API)

# Install 'vICC' in R:
install.packages('vICC', repos = c('https://cran.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).

jagscpp

1.70 score 3 scripts 172 downloads 6 exports 32 dependencies

Last updated 4 years agofrom:4715fff058. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-linuxNOTENov 29 2024

Exports:change_groupfixefpipposterior_samplesranefvicc

Dependencies:clicodacolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRdpackrjagsrlangscalestibbleutf8vctrsviridisLitewithr