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

In gabrielrvsc/BooST: Boosting Smooth Trees (BooST)

Description

Adds more trees to an estimated BooST object

Usage

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

## == to be made == ##

gabrielrvsc/BooST documentation built on July 27, 2021, 3:08 p.m.