summary.mvtb

object

print

number of trees used to compute relative influence. Defaults to the minimum number of trees by CV, test, or training error

n.trees

relative If 'col', each column sums to 100. If 'tot', the whole matrix sums to 100 (a percent). If 'n', the raw reductions in SSE are returned.

relative

additional arguments affecting the summary produced.


Computes a summary of the multivariate tree boosting model


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.

summary.mvtb: Computes a summary of the multivariate tree boosting model

Description

Usage

Arguments

Value

See Also