influence: Compute variable influence (influence) scores from 'mvtboost'...

In patr1ckm/mvtboost: Tree Boosting for Multivariate Outcomes

Description

Compute variable influence (influence) scores from mvtboost models.

Usage

influence(model, n.trees = NULL, relative = TRUE, sort = TRUE, ...)

## S3 method for class 'mvtb'
influence(model, n.trees = NULL, relative = "col",
  sort = FALSE, ...)

## S3 method for class 'twostage'
influence(model, n.trees = NULL, relative = TRUE,
  sort = FALSE, ...)

## S3 method for class 'metb'
influence(model, n.trees = NULL, relative = TRUE,
  sort = FALSE, ...)

## S3 method for class 'pcb'
influence(model, n.trees = NULL, relative = "col",
  sort = FALSE, ...)

Arguments

model	object from mvtb, metb, pcb, twostage
n.trees	number of trees to use. Defaults to the minimum number of trees by CV, test, or training error for each outcome.
relative	How to scale the multivariate influences. If "col", each column sums to 100. If "tot", the whole matrix sums to 100 (a percent). Otherwise, the raw reductions in SSE are returned.
sort	whether or not results should be (reverse) sorted. Defaults to FALSE.
...	not used

Methods (by class)

• mvtb: mvtb

• twostage: twostage

• metb: metb

• pcb: pcb

patr1ckm/mvtboost documentation built on May 24, 2019, 8:21 p.m.