condvis-package: Conditional Visualization for Statistical Models
In markajoc/condvis: Conditional Visualization for Statistical Models

Description Details Author(s) References Examples

Exploring statistical models by interactively taking 2-D and 3-D sections in data space. The main functions for end users are ceplot (see example below) and condtour. Requires XQuartz on Mac OS, and X11 on Linux. A website for the package is available at markajoc.github.io/condvis. Source code is available to browse at GitHub. Bug reports and feature requests are very welcome at GitHub.

Package:	condvis
Type:	Package
Version:	0.5-1
Date:	2018-09-13
License:	GPL (>= 2)

Mark O'Connell <mark_ajoc@yahoo.ie>, Catherine Hurley <catherine.hurley@mu.ie>, Katarina Domijan <katarina.domijan@mu.ie>.

O'Connell M, Hurley CB and Domijan K (2017). “Conditional Visualization for Statistical Models: An Introduction to the condvis Package in R.”Journal of Statistical Software, 81(5), pp. 1-20. <URL:http://dx.doi.org/10.18637/jss.v081.i05>.

## Not run: 
mtcars$cyl <- as.factor(mtcars$cyl)
mtcars$am <- as.factor(mtcars$am)

library(mgcv)
model1 <- list(
  quadratic = lm(mpg ~ cyl + am + qsec + wt + I(wt^2), data = mtcars),
  additive = gam(mpg ~ cyl + am + qsec + s(wt), data = mtcars))

ceplot(data = mtcars, model = model1, sectionvars = "wt")

## End(Not run)