https://github.com/pbreheny/visreg
Visualization of regression functions
https://github.com/pbreheny/visreg
Last synced: 2 days ago
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Visualization of regression functions
- Host: GitHub
- URL: https://github.com/pbreheny/visreg
- Owner: pbreheny
- Created: 2012-08-13T15:20:12.000Z (almost 13 years ago)
- Default Branch: master
- Last Pushed: 2025-02-28T15:08:49.000Z (5 months ago)
- Last Synced: 2025-07-05T08:42:52.807Z (11 days ago)
- Language: R
- Homepage: http://pbreheny.github.io/visreg/
- Size: 12.6 MB
- Stars: 62
- Watchers: 3
- Forks: 18
- Open Issues: 31
-
Metadata Files:
- Readme: README.md
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README
[](https://github.com/pbreheny/visreg)
[](https://cran.r-project.org/package=visreg)
[](https://cran.r-project.org/package=visreg)
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[](https://app.codecov.io/gh/pbreheny/visreg)
# visreg: Visualization of Regression Models
**visreg** is an R package for displaying the results of a fitted model in terms of how a predictor variable `x` affects an outcome `y`. The implementation of **visreg** takes advantage of object-oriented programming in R, meaning that it works with virtually any type of formula-based model in R provided that the model class provides a `predict()` method: `lm`, `glm`, `gam`, `rlm`, `nlme`, `lmer`, `coxph`, `svm`, `randomForest` and many more.
## Installation
To install the latest release version from CRAN:
```r
install.packages("visreg")
```
To install the latest development version from GitHub:
```r
remotes::install_github("pbreheny/visreg")
```
## Usage
The basic usage is that you fit a model, for example:
```r
fit <- lm(Ozone ~ Solar.R + Wind + Temp, data=airquality)
```
and then you pass it to `visreg`:
```r
visreg(fit, "Wind")
```
A more complex example, which uses the `gam()` function from **mgcv**:
```r
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")
```
## More information
For more information on **visreg** syntax and how to use it, see:
* The online documentation at contains many examples of visreg plots and the code to create them.
* [Breheny P and Burchett W (2017). Visualization of Regression Models Using visreg. *The R Journal*, 9: 56-71.](https://journal.r-project.org/archive/2017/RJ-2017-046/index.html)
The website focuses more on syntax, options, and user interface, while the paper goes into more depth regarding the statistical details.