README.md

In VetResearchLMM: Linear Mixed Models - An Introduction with Applications in Veterinary Research

VetResearchLMM: Linear Mixed Models - An Introduction with Applications in Veterinary Research

Introduction

VetResearchLMM provides datasets and reproducible R examples for Linear Mixed Models: An Introduction with Applications in Veterinary Research by Duchateau, Janssen, and Rowlands.

Current package maintenance includes the School of Mathematical and Statistical Sciences, Clemson University.

Installation

Stable Version

Install the stable version from CRAN:

install.packages("VetResearchLMM")

Development Version

Install the development version from GitHub:

if (!requireNamespace("devtools", quietly = TRUE)) {
  install.packages("devtools")
}

devtools::install_github("myaseen208/VetResearchLMM", build_vignettes = TRUE)

Example

data(ex31, package = "VetResearchLMM")
str(ex31)

Modern examples use collapse::fmutate() for compact preprocessing, ggplot2 for figures, optional report_mixed_model() for easystats-style interpretation, and optional emmeans_mixed_model() for estimated marginal means and post hoc comparisons.

if (requireNamespace("lme4", quietly = TRUE) &&
    requireNamespace("emmeans", quietly = TRUE)) {
  data(ex125, package = "VetResearchLMM")
  fit <- lme4::lmer(Pcv ~ dose * Drug + (1 | Region / Drug), data = ex125)
  if (requireNamespace("report", quietly = TRUE)) {
    report::report(fit)
  }
  emmeans_mixed_model(fit, ~ dose | Drug, lmer.df = "asymptotic")
  emmeans_mixed_model(
    fit,
    ~ dose | Drug,
    pairwise = TRUE,
    lmer.df = "asymptotic"
  )
}

Articles

The package includes Quarto articles covering the package overview, mixed model methodology, book example mapping, and ggplot2 plotting workflows. These articles are intended for pkgdown and applied users working through the book.

License

This package is free and open source software, licensed under GPL.

VetResearchLMM documentation built on May 5, 2026, 5:08 p.m.