Package: cAIC4 1.1

cAIC4: Conditional Akaike Information Criterion for 'lme4' and 'nlme'

Provides functions for the estimation of the conditional Akaike information in generalized mixed-effect models fitted with (g)lmer() from 'lme4', lme() from 'nlme' and gamm() from 'mgcv'. For a manual on how to use 'cAIC4', see Saefken et al. (2021) <doi:10.18637/jss.v099.i08>.

Authors:Benjamin Saefken [aut], David Ruegamer [aut, cre], Philipp Baumann [aut], Rene-Marcel Kruse [aut], Sonja Greven [aut], Thomas Kneib [aut]

cAIC4_1.1.tar.gz
cAIC4_1.1.zip(r-4.7)cAIC4_1.1.zip(r-4.6)cAIC4_1.1.zip(r-4.5)
cAIC4_1.1.tgz(r-4.6-any)cAIC4_1.1.tgz(r-4.5-any)
cAIC4_1.1.tar.gz(r-4.7-any)cAIC4_1.1.tar.gz(r-4.6-any)
cAIC4_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
cAIC4/json (API)

# Install 'cAIC4' in R:
install.packages('cAIC4', repos = c('https://druegamer.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • guWahbaData - Data from Gu and Wahba
  • Zambia - Subset of the Zambia data set on childhood malnutrition

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.19 score 2 stars 1 packages 128 scripts 5.1k downloads 4 mentions 10 exports 17 dependencies

Last updated from:8fe4ec8fe9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK148
linux-release-x86_64OK135
macos-release-arm64OK157
macos-oldrel-arm64OK194
windows-develOK97
windows-releaseOK91
windows-oldrelOK139
wasm-releaseOK102

Exports:anocAICcAICdeleteZeroComponentsgetcondLLgetModelComponentsgetWeightsmodelAvgpredictMAstepcAICsummaryMA

Dependencies:bootlatticelme4MASSMatrixmgcvminqamvtnormnlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlangRLRsim