varTestnlme: Variance Components Testing for Linear and Nonlinear Mixed Effects Models

An implementation of the Likelihood ratio Test (LRT) for testing that, in a (non)linear mixed effects model, the variances of a subset of the random effects are equal to zero. There is no restriction on the subset of variances that can be tested: for example, it is possible to test that all the variances are equal to zero. Note that the implemented test is asymptotic. This package should be used on model fits from packages 'nlme', 'lmer', and 'saemix'. Charlotte Baey and Estelle Kuhn (2019) <doi:10.18637/jss.v107.i06>.

Version: 1.3.5
Imports: mvtnorm, lmeresampler, alabama, Matrix, merDeriv, anocva, corpcor, quadprog, lme4, nlme, saemix, msm, foreach, methods, doParallel, parallel
Suggests: knitr, rmarkdown, EnvStats
Published: 2023-09-22
DOI: 10.32614/CRAN.package.varTestnlme
Author: Charlotte Baey ORCID iD [aut, cre], Estelle Kuhn [aut]
Maintainer: Charlotte Baey <charlotte.baey at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: varTestnlme citation info
Materials: README NEWS
In views: MixedModels
CRAN checks: varTestnlme results


Reference manual: varTestnlme.pdf
Vignettes: Get started


Package source: varTestnlme_1.3.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): varTestnlme_1.3.5.tgz, r-oldrel (arm64): varTestnlme_1.3.5.tgz, r-release (x86_64): varTestnlme_1.3.5.tgz, r-oldrel (x86_64): varTestnlme_1.3.5.tgz
Old sources: varTestnlme archive

Reverse dependencies:

Reverse imports: mlmpower


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