Variability in the world is important to understand for environmental and social sciences. Variance, a measure of variability, is commonly used in models. Traditional models assume variance is constant, but new models can account for changing variance. This article introduces variance functions in linear models, showing how they can be used to model changing variability. The researchers provide examples and scripts for using these functions in R, expanding the tools available to scientists for analyzing data with varying variance.