Function aniso fits a conventional 2-dimensional anisotropic Gaussian
process, i.e. just with scalings in the x and y coordinates.
aniso(x, z, n, correlation = FALSE, cosine = FALSE, standardise = "together")An object of class deform and then of class anisotropic
a 2-column matrix comprising x and y coordinates column-wise, respectively, or a list; see Details for the latter
a variance-covariance matrix
an integer number of data
a logical defining whether z should be assumed to be a correlation matrix; defaults to FALSE
a logical defining whether the powered exponential covariance function should be multiplied by the cosine of scaled distances, i.e. giving a damped oscillation; defaults to FALSE
a character string that governs whether dimensions are scaled by a common ("together") or dimension-specific factor; defaults to "together"
If x is a list, then it wants elements "x", "z" and "n" as described above.
Sampson, P. D. and Guttorp, P. (1992) Nonparametric Estimation of Nonstationary Spatial Covariance Structure, Journal of the American Statistical Association, 87:417, 108-119, tools:::Rd_expr_doi("10.1080/01621459.1992.10475181")'
data(solar)
aniso(solar$x, solar$z, solar$n)
# equivalent to aniso(solar)
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