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varTestnlme
View on CRAN: Click
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Download and install varTestnlme package within the R console
Install from CRAN:
install.packages("varTestnlme")
Install from Github:
library("remotes")
install_github("cran/varTestnlme") Install by package version:
library("remotes")
install_version("varTestnlme", "1.3.5") Attach the package and use:
library("varTestnlme")
Maintained by
Charlotte Baey
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First Published: 2020-01-10
Latest Update: 2023-09-22
Description:
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>.
How to cite:
Charlotte Baey (2020). varTestnlme: Variance Components Testing for Linear and Nonlinear Mixed Effects Models. R package version 1.3.5, https://cran.r-project.org/web/packages/varTestnlme. Accessed 04 Jun. 2026.
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Complete documentation for varTestnlme
Functions, R codes and Examples using
the varTestnlme R package
Some associated functions: alt.desc . approxWeights . bootinvFIM.SaemixObject . bootinvFIM.lme . bootinvFIM.merMod . bootinvFIM . dfChiBarSquare . extractFIM.lme . extractStruct.SaemixObject . extractStruct.lme . extractStruct.merMod . extractStruct . extractVarCov.lme . extractVarCov.merMod . extractVarCov . fim.vctest . null.desc . objFunction . pckName . print.desc.message . print.res.message . print.vctest . summary.vctest . varCompTest . weightsChiBarSquare .
Some associated R codes: chibarsquare.R . constraintsFn.R . generics.R . lme4_utilities.R . lme_utilities.R . methods.R . pkgName.R . saemix_utilities.R . utils.R . varCompTest.lme.R . varCompTest.merMod.R . varCompTest.saemixObject.R . varTestnlme-package.R . Full varTestnlme package functions and examples
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