mvtb.perspec: Perspective plot for 2 predictors and 1 response.
In mvtboost: Tree Boosting for Multivariate Outcomes

Description Usage Arguments Value See Also

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 ?plot.gbm.

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mvtb.perspec(object, response.no = 1, predictor.no = 1:2, n.trees = NULL,
  phi = 15, theta = -55, r = sqrt(10), d = 3, xlab = NULL,
  ylab = NULL, zlab = NULL, ticktype = "detailed", ...)

`object`	`mvtb` output object
`response.no`	index of the response variable
`predictor.no`	vector containing indices of the predictor variables to plot
`n.trees`	desired number of trees. Defaults to the minimum number of trees by CV, test, or training error
`phi`	angle of viewing direction. See `?persp`.
`theta`	angle of viewing direction See `?persp`.
`r`	distance from eye to center. See `?persp`.
`d`	strength of perspective. See `?persp`.
`xlab,`	title for x axis, must be character strings.
`ylab,`	title for y axis, must be character strings.
`zlab,`	title for z axis, must be character strings.
`ticktype`	'detailed' gives axis points. See `?persp` for other options.
`...`	extra arguments are passed to persp. See `?persp`