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varTestnlme  

Variance Components Testing for Linear and Nonlinear Mixed Effects Models
View on CRAN: Click here


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
[Scholar Profile | Author Map]
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 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2020-01-10 12:30), 0.2.0 (2020-07-07 23:10), 1.0.0 (2021-01-07 17:10), 1.1.0 (2021-10-11 16:40), 1.1.1 (2021-10-22 15:10), 1.2.0 (2021-12-07 12:40), 1.3.0 (2022-01-18 10:50), 1.3.1 (2022-03-08 14:20), 1.3.2 (2023-05-03 16:10), 1.3.3 (2023-05-23 22:20), 1.3.4 (2023-05-29 04:10)
Other packages that cited varTestnlme R package
View varTestnlme citation profile
Other R packages that varTestnlme depends, imports, suggests or enhances
Complete documentation for varTestnlme
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