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visreg provides a number of plotting functions for
visualizing fitted regression models: regression functions, confidence
bands, partial residuals, interactions, and more. visreg is
compatible with virtually all formula-based models in R that provide a
predict method: lm, glm,
gam, rlm, nlme,
lmer, coxph, svm,
randomForest and many more.
The basic usage is that you fit a model, for example:
fit <- lm(Ozone ~ Solar.R + Wind + Temp, data=airquality)and then you pass it to visreg:
visreg(fit, "Wind")
A more complex example, using the mgcv package:
airquality$Heat <- cut(airquality$Temp, 3, labels=c("Cool", "Mild", "Hot"))
fit <- gam(Ozone ~ s(Wind, by=Heat, sp=0.1), data=airquality)
visreg(fit, "Wind", "Heat", gg=TRUE, ylab="Ozone")
For details on visreg syntax and how to use it, see:
The website focuses more on syntax, options, and user interface, while the paper goes into more depth regarding the statistical details.
If you have a question or feature request, please submit an issue.
To install the latest release version from CRAN:
install.packages("visreg")To install the latest development version from GitHub:
remotes::install_github("pbreheny/visreg")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.