covar_aniso: Gaussian anisotropic covariance function
In RoyChristian/startR: Homebrewed package holding my most useful functions

Gaussian anisotropic covariance function

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covar_aniso(sigma = 1.25, eta = 0.001, phi1 = 5, phi2 = 2.5,
  theta = 0, coords = expand.grid(x = seq(-10, 10, by = 2), y = seq(-10, 10,
  by = 2)))

`sigma`	standard deviation for the covariance function
`eta`	smoothness parameters. Control how smooth the covariance function is.
`phi1`	decay parameter. Control the strength of the covariance between the points.
`phi2`	decay parameter. Control the strength of the covariance between the points.
`theta`	angle of the anisotropic field.
`coords`	matrix holding the coordinates of the points. Remember that the points must be projected if you want a correaltion matrix that make sense.