condvis-package

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Conditional Visualization for Statistical Models

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.

Keywords
package
Details

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

References

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>.

Aliases
  • condvis-package
  • condvis
Examples
# 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")
# }
Documentation reproduced from package condvis, version 0.5-1, License: GPL (>= 2)

Community examples

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