mvtb.ri

object

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

n.trees

How to scale the multivariate influences. If <code>"col"</code>, each column sums to 100. If <code>"tot"</code>, the whole matrix sums to 100 (a percent). Otherwise, the raw reductions in SSE are returned.

relative

Additional arguments passed to <code>gbm::relative.influence</code>


The relative influence of a predictor is the reduction in sums of squares attributable to splits on individual predictors.
It is often expressed as a percent (sums to 100).


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.ri: Computes the relative influence of each predictor for each outcome

Description

Usage

Arguments

Value