covar_iso_gaus: Gaussian isotropic covariance function

In RoyChristian/startR: Homebrewed package holding my most useful functions

Description

Calulate a Gaussian covariance functions based on a vector of coordinates.Remember that the points must be projected if you want a correaltion matrix that make sense.

Usage

covar_iso_gaus(sigma = 1.25, eta = 0.01, phi = 5, coords = expand.grid(x
  = seq(-10, 10, by = 2), y = seq(-10, 10, by = 2)))

Arguments

sigma	standard deviation for the covariance function
eta	smoothness parameters. Control how smooth the correlation function is.
phi	decay parameters. Control the strength of the correlation between the points.
coords	matrix holding the coordinates of the points.

Value

A Gaussian isotropic covariance matrix between points.

RoyChristian/startR documentation built on May 9, 2019, 10:34 a.m.