mvtb.perspec

object

response.no

vector containing indices of the predictor variables to plot

predictor.no

desired number of trees. Defaults to the minimum number of trees by CV, test, or training error

n.trees

angle of viewing direction. See <code>?persp</code>.

angle of viewing direction See <code>?persp</code>.

theta

distance from eye to center. See <code>?persp</code>.

strength of perspective. See <code>?persp</code>.

title for x axis, must be character strings.

xlab, 

title for y axis, must be character strings.

ylab, 

title for z axis, must be character strings.

zlab, 

'detailed' gives axis points. See <code>?persp</code> for other options.

ticktype

extra arguments are passed to persp. See <code>?persp</code>


This is a plot of the model implied function of 2 predictors averaged over the other predictors
included in the model. This is called a partial dependence plot.
As an alternative to the perspective (3D) plot, a 2D heat plot can be obtained directly
using <code>?plot.gbm</code>.


Fits a multivariate model of decision trees for multiple, continuous outcome variables. A model for each outcome variable is fit separately, selecting predictors that explain covariance in the outcomes.  Built on top of 'gbm', which fits an ensemble of decision trees to univariate outcomes.

mvtb.perspec: Perspective plot for 2 predictors and 1 response.

Description

Usage

Arguments

Value

See Also