Plotting Predictive Distributions of Dynamic Tree models
Plotting predictive distributions constructed from dynamic tree (regression) models for 1-d data -- provided primarily for use in our 1-d examples and for illustrative purposes
## S3 method for class 'dynaTree' plot(x, proj = 1, add = FALSE, ylim = NULL, col = 2, lwd = 1, ptype = c("each", "mean"), ...)
x: a "dynaTree"-class object built by dynaTree
add: a scalar logical indicating if the lines/points should be added to an existing plot
proj: when ncol(x$X) > 1 this argument can be used to plot a 1-d projection by specifying which column of x$X
should be used to make the plot
ylim: user-specified y-axis limits values; see plot
col: user-specified color value; see plot
lwd: user-specified line-width value; see plot
ptype: type of plot used to visualize several predictive samples obtained from dynaTrees: "each"
shows each surface with its own set of three lines, and "mean" shows the three lines obtained by averaging
...: other arguments to the generic plot method
This plotting function only handles the predictive output from 1-dimensional regression dynaTree models as obtained by first calling dynaTree and then predict.dynaTree on the resulting output at new XX locations. It is provided to help make the illustration of our 1-d examples easier and to serve as an aid in a user's development of custom plotting functions in higher dimensions
The only output of this function is a pretty plot
Taddy, M.A., Gramacy, R.B., and Polson, N. (2011). Dynamic trees for learning and design
Journal of the American Statistical Association, 106(493), pp. 109-123; arXiv:0912.1586
https://bobby.gramacy.com/r_packages/dynaTree/
Robert B. Gramacy rbg@vt.edu ,
Matt Taddy and Christoforos Anagnostopoulos
predict.dynaTree, dynaTree, update.dynaTree
## see dynaTree, dynaTrees and update.dynaTree for examples ## which use this plot function