bamlss (version 1.1-2)

smooth.construct.kr.smooth.spec: Kriging Smooth Constructor

Description

This smooth constructor implements a kriging based model term.

Usage

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

Arguments

object, data, knots

See smooth.construct.

…

Currently not used.

Value

A smooth specification object, see also smooth.construct.

Details

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

References

Fahrmeir, L., Kneib, T. , Lang, S., Marx, B. (2013): Regression. Models, Methods and Applications, Springer Verlag. http://www.regressionbook.org/

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)
# }

Run the code above in your browser using DataCamp Workspace