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:
<- lm(Ozone ~ Solar.R + Wind + Temp, data=airquality) fit
and then you pass it to visreg
:
visreg(fit, "Wind")
A more complex example, using the mgcv
package:
$Heat <- cut(airquality$Temp, 3, labels=c("Cool", "Mild", "Hot"))
airquality<- gam(Ozone ~ s(Wind, by=Heat, sp=0.1), data=airquality)
fit 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:
::install_github("pbreheny/visreg") remotes