predict.hero_radspline: Predict method for a 'hero_radspline'

In hero: Spatio-Temporal (Hero) Sandwich Smoother

Predict method for a hero_radspline

Description

Predicted values based on object created by radspline.

Usage

## S3 method for class 'hero_radspline'
predict(object, newx, sparse = TRUE, longlat = FALSE, join = TRUE, ...)

Arguments

object	A hero_radspline object created by radspline.
newx	A numeric matrix at which to evaluate the radial basis splines functions.
sparse	A logical value indicating if the result should be a sparse version of the Matrix-class.
longlat	Use Euclidean (FALSE) or Great Circle (WGS84 ellipsoid) distance (TRUE). Default is FALSE.
join	A logical value. TRUE, the default, indicates that the predictions from each set of radial basis functions should be joined column-wise. Otherwise, a list with the predictions from each set of basis functions is returned.
...	Not currently implemented.

Value

An n \times k matrix (or Matrix-class object if sparse = TRUE), where n is the number of rows in newx and k is the number of basis functions in object. Each row gives the predicted values of each newx value evaluated at each of the basis functions.

See Also

radspline

Examples

border = border.grid(lon, lat)
r = radspline(nknots = c(36, 36 * 4), border = border)
newx = cbind(c(lon), c(lat))
p = predict(r, newx)

hero documentation built on July 26, 2023, 5:11 p.m.