aniso | R Documentation |

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")
```

`x` |
a 2-column matrix comprising x and y coordinates column-wise, respectively, or a list; see Details for the latter |

`z` |
a variance-covariance matrix |

`n` |
an integer number of data |

`correlation` |
a logical defining whether |

`cosine` |
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 |

`standardise` |
a character string that governs whether dimensions are scaled by a common ( |

If `x`

is a list, then it wants elements `"x"`

, `"z"`

and `"n"`

as described above.

An object of class `deform`

and then of class `anisotropic`

Sampson, P. D. and Guttorp, P. (1992) Nonparametric Estimation of Nonstationary Spatial Covariance Structure, Journal of the American Statistical Association, 87:417, 108-119, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.1992.10475181")}'

```
data(solar)
aniso(solar$x, solar$z, solar$n)
# equivalent to aniso(solar)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.