cAIC4: Conditional Akaike information criterion for lme4
Version 0.2

Provides functions for the estimation of the conditional Akaike information in generalized mixed-effects models fitted with (g)lmer form lme4.

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AuthorBenjamin Saefken and David Ruegamer, with contributions from Sonja Greven and Thomas Kneib
Date of publication2014-08-12 11:48:10
MaintainerBenjamin Saefken <bsaefke@uni-goettingen.de>
LicenseGPL (>= 2)
Version0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("cAIC4")

Man pages

cAIC: Conditional Akaike information for lmer & glmer
cAIC4-package: Conditional Akaike information criterion for lme4
deleteZeroComponents: Delete random effect terms with zero variance

Functions

bcMer Source code
biasCorrectionBernoulli Source code
biasCorrectionGaussian Source code
biasCorrectionPoisson Source code
cAIC Man page Source code
cAIC4-package Man page
calculateGaussianBc Source code
cnms2formula Source code
conditionalBootstrap Source code
deleteZeroComponents Man page Source code
getModelComponents Source code
getcondLL Source code

Files

NAMESPACE
R
R/getModelComponents.R
R/biasCorrectionGaussian.R
R/cnms2formula.R
R/biasCorrectionBernoulli.R
R/deleteZeroComponents.R
R/biasCorrectionPoisson.R
R/bcMer.R
R/getcondLL.R
R/cAIC.R
R/calculateGaussianBc.R
R/conditionalBootstrap.R
MD5
DESCRIPTION
man
man/cAIC.Rd
man/deleteZeroComponents.Rd
man/cAIC4-package.Rd
cAIC4 documentation built on May 19, 2017, 6:37 p.m.