SpatialExtremes (version 1.1-1)

rb: Creates a model using penalized smoothing splines

Description

Creates a model using penalized smoothing splines using radial basis functions

Usage

rb(..., knots, degree, penalty)

Arguments

...

The explicative variables for which the spline is based on.

knots

The coordinates of knots. See section details.

degree

Numeric. The degree of the spline.

penalty

Numeric. The penalty coefficient.

Value

• A list giving all the required information to fit a penalized smoothing spline:
• dsgn.mat
  The design matrix.
• pen.mat
  The penalization matrix.
• degree
  The degree of the smoothing spline.
• penalty
  The penalty of the smoothing spline.
• knots
  The knots of the smoothing spline.
• data
  The explicative variables (e.g. covariates).
• call
  How was the rb function was called?

Warning

This function is not supposed to be called directly. rb is supposed to be embedded in a R formula.

Details

If one explicative variable is given in "...", the knots should be a numeric vector. Otherwise, knots should be a matrix with the same number of column and covariates.

See Also

fitmaxstab

Examples

n.site <- 30
locations <- matrix(runif(2*n.site, 0, 10), ncol = 2)
colnames(locations) <- c("lon", "lat")
knots <- quantile(locations[,2], 1:5/6)

form <- y ~ rb(lat, knots = knots, degree = 3, penalty = .5)