GPgen: Conversion from a long dataframe to a sptm object

In ick003/GPspt: Using Gaussian process models for spatio-temporal data

Description

This function allows you to calculate a Gaussian process kernel

Usage

GPgen(xd, param, nb, kernel)

Arguments

xd	Location of the GP prediction
param	list of parameters, with the right naming convention
nb	Number of GP to be generated
kernel	list of kernel used to generate the GPs.

Examples

xd = expand.grid(seq(0,10,length.out = 10),seq(0,10,length.out = 10))
param = list(list(s1=2, s2=5))
nb = 1
kernel = list(k_spatial)
attr(kernel, "type") <- "spatial"
tt = GPgen(xd, param, nb, kernel)
image(matrix(tt$f, ncol = 10,byrow=TRUE))

ick003/GPspt documentation built on March 16, 2020, 3:34 a.m.