Kriging Smooth Constructor
This smooth constructor implements a kriging based model term.
## S3 method for class 'kr.smooth.spec' smooth.construct(object, data, knots, ...) ## S3 method for class 'kriging.smooth' Predict.matrix(object, data)
object, data, knots |
See |
... |
Currently not used. |
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.
A smooth specification object, see also smooth.construct.
Fahrmeir, L., Kneib, T. , Lang, S., Marx, B. (2013): Regression. Models, Methods and Applications,
Springer Verlag. https://www.uni-goettingen.de/de/551357.html
## 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)
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