Visualization of Regression Models Using visreg

Regression models allow one to isolate the relationship between the outcome and an explanatory variable while the other variables are held constant. Here, we introduce an R package, visreg, for the convenient visualization of this relationship via short, simple function calls. In addition to estimates of this relationship, the package also provides pointwise confidence bands and partial residuals to allow assessment of variability as well as outliers and other deviations from model-ing assumptions. The package provides several options for visualizing models with interactions, including lattice plots, contour plots, and both static and interactive perspective plots. The implementation of the package is designed to take full advantage of R’s generic functions, allow-ing a consistent interface for visualizing not only linear models, but generalized linear models, proportional hazards models, generalized additive models, robust regression models, and more. In simple linear regression, it is both straightforward and extremely useful to plot the regression line. The plot tells you everything you need to know about the model and what it predicts. It is common to superimpose this line over a scatter plot of the two variables. A further refinement is the addition of a confidence band. Thus, in one plot, the analyst can immediately assess the empirical relationship between x and y in additio