Regression models are useful but they can be tricky to interpret.
Variable centering and contrast coding can obscure the meaning of main effects.
Interaction terms, especially higher order ones, only increase the difficulty of interpretation.
Here, we introduce Effects.jl which translates the fitted model, including estimated uncertainty, back into data space.
Using Effects.jl, it is possible to generate effects plots that enable rapid visualization and interpretation of regression models.