smooth_tree: Estimate BooST

Description Usage Arguments Value References Examples

View source: R/smooth_tree.R

Description

Estimates Boosting of Smooth Trees (BooST)

Usage

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smooth_tree(x, y, p = 1, d_max = 4, gamma = seq(0.5, 5, 0.01),
  node_obs = nrow(x)/200)

Arguments

x

Design matrix with explanatory variables.

y

Response variable.

p

Proportion of variables tested in each node split (default 1).

d_max

Number of splits in each tree (default 4).

gamma

Transiction function intensity. Bigger numbers makes the transition less smoth. The default is a sequence of values (0.5:5) to be randomized in each new node. Multiple values may be supplied in a vector to increase the model randomness.

node_obs

Equivalent to the minimum number of observations in a termina node for a discrete tree.

Value

An object with S3 class "SmoothTree".

Model

A list with all trees.

fitted.values

Final model fitted values.

nvar

Number of variables in x.

varnames

colnames of x to be used in other functions.

call

The matched call.

References

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Examples

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## == to be made == ##

gabrielrvsc/BooST documentation built on Aug. 12, 2020, 12:50 p.m.