Package: iccbeta 1.2.0

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]

iccbeta_1.2.0.tar.gz
iccbeta_1.2.0.tar.gz(r-4.5-noble)iccbeta_1.2.0.tar.gz(r-4.4-noble)
iccbeta_1.2.0.tgz(r-4.4-emscripten)iccbeta_1.2.0.tgz(r-4.3-emscripten)
iccbeta.pdf |iccbeta.html
iccbeta/json (API)
NEWS

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

openblascpp

1.70 score 5 scripts 203 downloads 1 exports 11 dependencies

Last updated 6 years agofrom:6e3451ba3e. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 21 2024
R-4.5-linux-x86_64NOTEDec 21 2024

Exports:icc_beta

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrRcppRcppArmadilloRcppEigen