Package: iccbeta 1.2.1

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_1.2.1.tar.gz
iccbeta_1.2.1.tar.gz(r-4.7-arm64)iccbeta_1.2.1.tar.gz(r-4.7-x86_64)iccbeta_1.2.1.tar.gz(r-4.6-arm64)iccbeta_1.2.1.tar.gz(r-4.6-x86_64)
iccbeta_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
iccbeta/json (API)
NEWS

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

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

Pkgdown/docs site:https://tmsalab.github.io

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:

Conda:

openblascpp

1.70 score 6 scripts 643 downloads 1 exports 15 dependencies

Last updated from:e575b7ba2a. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK156
linux-devel-x86_64OK146
source / vignettesOK191
linux-release-arm64OK139
linux-release-x86_64OK144
wasm-releaseOK126

Exports:icc_beta

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrlang