Package: iccbeta 1.2.0.900

Steven Andrew Culpepper

iccbeta: Multilevel Model Intraclass Correlation for Slope Heterogeneity

A function and vignettes for computing an intraclass correlation described in Aguinis & Culpepper (2015) <doi:10.1177/1094428114563618>. This package quantifies the share of variance in a dependent variable that is attributed to group heterogeneity in slopes.

Authors:Steven Andrew Culpepper [aut, cph, cre], Herman Aguinis [aut, cph]

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iccbeta.pdf |iccbeta.html✨
iccbeta/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/tmsalab/iccbeta/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • Hofmann - A multilevel dataset from Hofmann, Griffin, and Gavin (2000).
  • simICCdata - Simulated data example from Aguinis and Culpepper (2015).

On CRAN:

armadillocorrelationintraclass-correlationrcpprcpparmadillo

1 exports 2 stars 0.83 score 11 dependencies 5 scripts 192 downloads

Last updated 5 years agofrom:f649ced2cc. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 13 2024
R-4.5-win-x86_64NOTEAug 13 2024
R-4.5-linux-x86_64NOTEAug 13 2024
R-4.4-win-x86_64NOTEAug 13 2024
R-4.4-mac-x86_64NOTEAug 13 2024
R-4.4-mac-aarch64NOTEAug 13 2024
R-4.3-win-x86_64NOTEAug 13 2024
R-4.3-mac-x86_64NOTEAug 13 2024
R-4.3-mac-aarch64NOTEAug 13 2024

Exports:icc_beta

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppArmadilloRcppEigen