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rb

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

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

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

v1.1-3
GPL-2 | GPL-3
Authors
Nikolaus Umlauf [aut, cre] (<https://orcid.org/0000-0003-2160-9803>), Nadja Klein [aut] (<https://orcid.org/0000-0002-5072-5347>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>), Meike Koehler [ctb], Thorsten Simon [aut] (<https://orcid.org/0000-0002-3778-7738>), Stanislaus Stadlmann [ctb]
Initial release
2021-01-25

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