BooST.more: Adds more trees to an estimated BooST object

Description Usage Arguments Value References Examples

View source: R/BooSTmore.R

Description

Adds more trees to an estimated BooST object

Usage

1
BooST.more(x, y, object, M, display = FALSE)

Arguments

x

Design matrix with explanatory variables.

y

Response variable.

object

BooST output object.

M

Number of trees to add.

display

If TRUE, displays iteration counter.

Value

An object with S3 class "Boost".

Model

A list with all trees.

fitted.values

Final model fitted values.

brmse

Boost rmse in each iteratiob.

Model

A list with all trees.

ybar

Average value of y used in the first iteration.

v

Chosen learning rate.

rho

Vector of gradient estimates for each iteration.

nvar

Numver of variables in x

varnames

colnames of x to be used in other functions.

params

Model parameters.

call

The matched call.

References

blablabla

Examples

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## == to be made == ##

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