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

In mvtboost: Tree Boosting for Multivariate Outcomes

Description

Computes a summary of the multivariate tree boosting model

Usage

## S3 method for class 'mvtb'
summary(object, print = TRUE, n.trees = NULL,
  relative = "col", ...)

Arguments

object	mvtb output object
print	result (default is TRUE)
n.trees	number of trees used to compute relative influence. Defaults to the minimum number of trees by CV, test, or training error
relative	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.
...	additional arguments affecting the summary produced.

Value

Returns the best number of trees, the univariate relative influence of each predictor for each outcome, and covariance explained in pairs of outcomes by each predictor

See Also

mvtb.ri, gbm.ri, mvtb.cluster

mvtboost documentation built on May 2, 2019, 2:14 p.m.