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
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
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"
)
}