https://github.com/pbreheny/visreg

Visualization of regression functions
https://github.com/pbreheny/visreg

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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 (over 12 years ago)
• Default Branch: master
• Last Pushed: 2024-06-01T16:08:54.000Z (7 months ago)
• Last Synced: 2024-09-21T14:14:08.546Z (3 months ago)
• Language: R
• Homepage: http://pbreheny.github.io/visreg/
• Size: 6.35 MB
• Stars: 62
• Watchers: 4
• Forks: 18
• Open Issues: 30
• Metadata Files:
  • Readme: README.md

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# 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.