Description Usage Arguments Value See Also
Computes a summary of the multivariate tree boosting model
1 2 3 |
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. |
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
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