Package: iccmult 1.0.1

Nicole Solomon

iccmult: Intracluster Correlation Coefficient (ICC) in Clustered Categorical Data

Assists in generating categorical clustered outcome data, estimating the Intracluster Correlation Coefficient (ICC) for nominal or ordinal data with 2+ categories under the resampling and method of moments (MoM) methods, with confidence intervals.

Authors:Nicole Solomon [aut, cre, cph]

iccmult_1.0.1.tar.gz
iccmult_1.0.1.zip(r-4.7-any)iccmult_1.0.1.zip(r-4.6-any)iccmult_1.0.1.zip(r-4.5-any)
iccmult_1.0.1.tgz(r-4.6-any)iccmult_1.0.1.tgz(r-4.5-any)
iccmult_1.0.1.tar.gz(r-4.7-any)iccmult_1.0.1.tar.gz(r-4.6-any)
iccmult_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
iccmult/json (API)

# Install 'iccmult' in R:
install.packages('iccmult', repos = c('https://ncs14.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ncs14/iccmult/issues

On CRAN:

Conda:

2.70 score 390 downloads 2 exports 16 dependencies

Last updated from:097685984f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK170
source / vignettesOK145
linux-releaseOK167
macos-releaseOK173
macos-oldrelOK160
windows-develOK89
windows-releaseOK88
windows-oldrelOK80
wasm-releaseOK80

Exports:iccmultirccat

Dependencies:bootdirmultgtoolsICCbinlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulas