Package: varTestnlme 1.3.5

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>.

Authors:Charlotte Baey [aut, cre], Estelle Kuhn [aut]

varTestnlme_1.3.5.tar.gz
varTestnlme_1.3.5.zip(r-4.7-any)varTestnlme_1.3.5.zip(r-4.6-any)varTestnlme_1.3.5.zip(r-4.5-any)
varTestnlme_1.3.5.tgz(r-4.6-any)varTestnlme_1.3.5.tgz(r-4.5-any)
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varTestnlme_1.3.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
varTestnlme/json (API)

# Install 'varTestnlme' in R:

install.packages('varTestnlme', repos = c('https://baeyc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/baeyc/vartestnlme/issues

On CRAN:

4.48 score 2 stars 1 packages 7 scripts 400 downloads 17 exports 86 dependencies

Last updated from:83a5c63d66. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	160
source / vignettes	OK	214
linux-release	WARNING	144
macos-release	WARNING	201
macos-oldrel	WARNING	180
windows-devel	WARNING	87
windows-release	WARNING	99
windows-oldrel	WARNING	78
wasm-release	OK	138

Exports:approxWeights bootinvFIM bootinvFIM.lme bootinvFIM.merMod bootinvFIM.SaemixObject extractFIM.lme extractStruct extractVarCov extractVarCov.lme extractVarCov.merMod fim.vctest print.vctest summary.vctest varCompTest varCompTest.lme varCompTest.merMod varCompTest.SaemixObject

Dependencies:alabama anocva boot cli cluster codetools CompQuadForm corpcor cpp11 diagonals distributional doParallel dplyr expm farver forcats foreach generics ggdist ggplot2 ggrepel glue gridExtra gtable HLMdiag hms isoband iterators janitor labeling lattice lavaan lifecycle lme4 lmeresampler lubridate magrittr MASS Matrix mclust merDeriv mgcv minqa mnormt msm mvtnorm nlme nlmeU nloptr nonnest2 npde numDeriv pbivnorm pillar pkgconfig plyr purrr quadprog R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas reshape2 rlang S7 saemix sandwich scales snakecase statmod stringi stringr survival tibble tidyr tidyselect timechange utf8 vctrs viridisLite withr zoo

Get started

Rendered fromvarTestnlme.Rmdusingknitr::rmarkdown

Last update: 2023-09-21
Started: 2019-12-11

Help page	Topics
alt.desc	alt.desc
Monte Carlo approximation of chi-bar-square weights	approxWeights
Approximation of the inverse of the Fisher Information Matrix via parametric bootstrap	bootinvFIM bootstrap invFIM
Compute the inverse of the Fisher Information Matrix using parametric bootstrap	bootinvFIM.lme
Compute the inverse of the Fisher Information Matrix using parametric bootstrap	bootinvFIM.merMod
Compute the inverse of the Fisher Information Matrix using parametric bootstrap	bootinvFIM.SaemixObject
Chi-bar-square degrees of freedom computation	dfChiBarSquare
Extract FIM	extractFIM.lme
Extracting models' structures	extractStruct
Extract model structure	extractStruct.lme
Extract model structure	extractStruct.merMod
Extract model structure	extractStruct.SaemixObject
Extract covariance matrix	extractVarCov
Extract covariance matrix	extractVarCov.lme
Extract covariance matrix	extractVarCov.merMod
Extract the Fisher Information Matrix	fim.vctest
null.desc	null.desc
Internal functions for constrained minimization	eqCstr gradObjFunction ineqCstr jacobianEqCstr jacobianIneqCstr objFunction symMatrixFromVect
Extract package name from a fitted mixed-effects model	pckName
print.desc.message	print.desc.message
print.res.message	print.res.message
Print	print.vctest
Summary	summary.vctest
Variance component testing	varCompTest varCompTest.lme varCompTest.lme4 varCompTest.merMod varCompTest.saemix varCompTest.SaemixObject
Monte Carlo approximation of chi-bar-square weights	weightsChiBarSquare

Package: varTestnlme 1.3.5

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

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