Plot Summary Analysis — plot.boostmtree • boostmtree

Plot summary analysis of the boosting analysis.

Usage

# S3 method for class 'boostmtree'
plot(x, use.rmse = TRUE, path_saveplot = NULL, Verbose = TRUE, ...)

Arguments

x: An object of class (boostmtree, grow) or (boostmtree, predict).
use.rmse: Report performance values in terms of standardized root-mean-squared-error (RMSE) or mean-squared-error (MSE)? Default is standardized RMSE.
path_saveplot: Provide the location where plot should be saved. By default the plot will be saved at temporary folder.
Verbose: Display the path where the plot is saved?
...: Further arguments passed to or from other methods.

Details

Plot summary output, including predicted values and residuals. Also plots various parameters against the number of boosting iterations.

Author

Hemant Ishwaran, Amol Pande and Udaya B. Kogalur

References

Pande A., Li L., Rajeswaran J., Ehrlinger J., Kogalur U.B., Blackstone E.H., Ishwaran H. (2017). Boosted multivariate trees for longitudinal data, Machine Learning, 106(2): 277–305.