Package: ELmethodVar 0.1

Jingru Zhang

ELmethodVar: Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models

This package provides empirical likelihood-based methods for the inference of variance components in linear mixed-effects models.

Authors:Jingru Zhang

# Install 'ELmethodVar' in R:

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

Datasets:

On CRAN:

Last updated from:01dd328742. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	96
source / vignettes	OK	102
linux-release-x86_64	OK	122
macos-release-arm64	OK	139
macos-oldrel-arm64	OK	191
windows-devel	OK	89
windows-release	OK	59
windows-oldrel	OK	67
wasm-release	OK	81

Dependencies:

Help page	Topics
A Matrix Representing Fixed Effects	beta.all
Empirical Likelihood Inference of Variance Components in Linear Mixed-Effects Models	ELmethodVar
Empirical Likelihood Inference of a Local Variance Component	ELvar
Empirical Likelihood Inference of Variance Components over an Interval	GELvar
Empirical Likelihood Inference of Variance Components at multiple time points	multiELvar
Design Matrices of Variance Components	Philist
A Matrix Representing True Variance Components	thetastar
Design matrix for all observations	X
Response matrix	Y.all