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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.
Health stats visible at Monitor.