metric-2d {asreml} | R Documentation

## Metric based models in two dimensions.

### Description

Metric based variance model functions in two dimensions.

### Usage

    iexp(x, y, init=NA)

    iexpv(x, y, init=NA)

    iexph(x, y, init=NA)

    aexp(x, y, init=NA)

    aexpv(x, y, init=NA)

    aexph(x, y, init=NA)

    igau(x, y, init=NA)

    igauv(x, y, init=NA)

    igauh(x, y, init=NA)

    agau(x, y, init=NA)

    agauv(x, y, init=NA)

    agauh(x, y, init=NA)

    ieuc(x, y, init=NA)

    ieucv(x, y, init=NA)

    ieuch(x, y, init=NA)

    ilv(x, y, init=NA)

    ilvv(x, y, init=NA)

    ilvh(x, y, init=NA)

    sph(x, y, init=NA)

    sphv(x, y, init=NA)

    sphh(x, y, init=NA)

    cir(x, y, init=NA)

    cirv(x, y, init=NA)

    cirh(x, y, init=NA)

### Arguments

`x` | An object in `data` containing the x coordinates.
`y` | An object in `data` containing the y coordinates.
`init` | An optional vector of initial values (power parameters followed by variance parameters) with an optional `names` attribute from the set {P, U, F} specifying the boundary constraint as positive, unconstrained or fixed, respectively.

### Details

Includes two two dimensional isotropic exponential, gaussian, euclidean, linear variance, spherical and circular power models (`iexp`, `igau`, `ieuc`, `ilv`, `sph`, `cir`), anisotropic exponential and gaussian models (`aexp`, `agau`) and the Matern class (`mtrn`).

### Functions

- `asr_iexpv`: Homogeneous variance form.

- `asr_iexph`: Heterogeneous variance form.

- `asr_aexp`: Anisotropic exponential variance model.

- `asr_aexpv`: Anisotropic exponential variance model, homogeneous variance form.

- `asr_aexph`: Anisotropic exponential variance model, heterogeneous variance form.

- `asr_igau`: Isotropic Gaussian variance model.

- `asr_igauv`: Isotropic Gaussian variance model, homogeneous variance form.

- `asr_igauh`: Isotropic Gaussian variance model, heterogeneous variance form.

- `asr_agau`: Anisotropic Gaussian variance model.

- `asr_agauv`: Anisotropic Gaussian variance model, homogeneous variance form.

- `asr_agauh`: Anisotropic Gaussian variance model, heterogeneous variance form.

- `asr_ieuc`: Isotropic Euclidean variance model.

- `asr_ieucv`: Isotropic Euclidean variance model, homogeneous variance form.

- `asr_ieuch`: Isotropic Euclidean variance model, heterogeneous variance form.

- `asr_ilv`: Isotropic linear variance model.

- `asr_ilvv`: Isotropic linear variance model, homogeneous variance form.

- `asr_ilvh`: Isotropic linear variance model, heterogeneous variance form.

- `asr_sph`: Spherical variance model.

- `asr_sphv`: Spherical variance model, homogeneous variance form.

- `asr_sphh`: Spherical variance model, heterogeneous variance form.

- `asr_cir`: Circular variance model.

- `asr_cirv`: Circular variance model, homogeneous variance form.

- `asr_cirh`: Circular variance model, heterogeneous variance form.

[Package asreml version 4.1.0.176 Index]