Plot Summary Analysis

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.

Value

Invisibly returns the boostmtree object x.

Details

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

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.

Author

Hemant Ishwaran, Amol Pande and Udaya B. Kogalur