rb: Random Bits for BAMLSS

In bamlss: Bayesian Additive Models for Location, Scale, and Shape (and Beyond)

Random Bits for BAMLSS

Description

This smooth constructor implements random bits model terms. Note that this is experimental.

Usage

## Linear smooth constructor.
rb(..., k = 50)

## For mgcv.
## S3 method for class 'randombits.smooth.spec'
smooth.construct(object, data, knots, ...)

Arguments

...	For function rb() a formula of the type ~x1+x2+x3 that specifies the covariates that should be modeled.
k	Integer, number of radnom bit columns in the design matrix.
object, data, knots	See smooth.construct.

Value

Function rb(), similar to function s a simple smooth specification object.

See Also

bamlss, predict.bamlss, bfit, boost

Examples

## Not run: ## Simulate data.
set.seed(123)
d <- GAMart()

## Estimate model.
f <- num ~ rb(x1) + rb(x2) + rb(x3) + rb(~lon+lat)

b <- bamlss(f, data = d)

plot(b)

## End(Not run)

bamlss documentation built on Oct. 11, 2024, 5:07 p.m.