lin: Linear Effects for BAMLSS

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

Linear Effects for BAMLSS

Description

This smooth constructor implements simple linear effects. The columns of the design matrix are automatically scaled. The main advantage of this constructor is speed when used in the BAMLSS boosting algorithm boost. Optionally, a ridge penalty can be added, please see the example.

Usage

## Linear smooth constructor.
lin(...)

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

Arguments

...	For function lin() a formula of the type ~x1+x2+x3 that specifies the covariates that should be modeled.
object, data, knots	See smooth.construct.

Value

Function lin(), 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 ~ lin(~x1+x2+x3+fac,ridge=TRUE)

b <- bamlss(f, data = d)

summary(b)

## End(Not run)

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