Compute the strength of two-way interaction effects. For details, see the reference below.

vint(object, feature_names, progress = "none", parallel = FALSE,
paropts = NULL, ...)

## Arguments

object A fitted model object (e.g., a "randomForest" object). Character string giving the names of the two features of interest. Character string giving the name of the progress bar to use while constructing the interaction statistics. See create_progress_bar for details. Default is "none". Logical indicating whether or not to run partial in parallel using a backend provided by the foreach package. Default is FALSE. List containing additional options to be passed onto foreach when parallel = TRUE. Additional optional arguments to be passed onto partial.

Coming soon!

## References

Greenwell, B. M., Boehmke, B. C., and McCarthy, A. J.: A Simple and Effective Model-Based Variable Importance Measure. arXiv preprint arXiv:1805.04755 (2018).