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, Paul-Henry Cournède and Estelle Kuhn (2019) <doi:10.1016/j.csda.2019.01.014>.

Version:	0.2.0
Imports:	mvtnorm, alabama, Matrix, merDeriv, matrixcalc, anocva, corpcor, quadprog, lme4, nlme, saemix, msm, foreach, methods, doParallel, parallel, lmeresampler
Suggests:	knitr, rmarkdown, ggplot2
Published:	2020-07-07
Author:	Charlotte Baey [aut, cre], Estelle Kuhn [aut]
Maintainer:	Charlotte Baey <charlotte.baey at univ-lille.fr>
BugReports:	http://github.com/baeyc/varTestnlme/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://github.com/baeyc/varTestnlme/
NeedsCompilation:	no
Citation:	varTestnlme citation info
Materials:	README NEWS
CRAN checks:	varTestnlme results

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