kr: Kriging Smooth Constructor

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

Kriging Smooth Constructor

Description

This smooth constructor implements a kriging based model term.

Usage

## S3 method for class 'kr.smooth.spec'
smooth.construct(object, data, knots, ...)
## S3 method for class 'kriging.smooth'
Predict.matrix(object, data)

Arguments

object, data, knots	See smooth.construct.
...	Currently not used.

Details

This smooth constructor implements univariate and bivariate Kriging terms. The basis functions are based on the Matern covariance function. For finding knots, a space filling algorithm is used, see cover.design.

Value

A smooth specification object, see also smooth.construct.

References

Fahrmeir, L., Kneib, T. , Lang, S., Marx, B. (2013): Regression. Models, Methods and Applications, Springer Verlag. https://www.uni-goettingen.de/de/551357.html

See Also

bamlss, smooth.construct

Examples

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

## Estimate model.
f <- num ~ s(x1,bs="kr") + s(x2,bs="kr") + s(x3,bs="kr") + s(lon,lat,bs="kr",k=30)

## Set the seed, estimate model.
set.seed(111)
b <- bamlss(f, data = d)

## Plot estimated effects.
plot(b)

## End(Not run)

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