metric-1d {asreml} | R Documentation

## Metric based models in one dimension.

### Description

Metric based variance model functions in one dimension.

### Usage

    exp(x, init=NA, dist=NA)

    expv(x, init=NA, dist=NA)

    exph(x, init=NA, dist=NA)

    gau(x, init=NA, dist=NA)

    gauv(x, init=NA, dist=NA)

    gauh(x, init=NA, dist=NA)

    lvr(x, init=NA, dist=NA)

    lvrv(x, init=NA, dist=NA)

    lvrh(x, init=NA, dist=NA)

### Arguments

`x` | An object in `data`.
`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.
`dist` | Optional numeric vector of coordinates (distances). If missing then the distances are obtained as `unique(obj)`.

### Details

Includes one dimensional exponential, gaussian and linear variance power models (`exp`, `gau`, `lvr`).

### Functions

- `asr_expv`: Homogeneous variance form.

- `asr_exph`: Heterogeneous variance form.

- `asr_gau`: Gaussian power model.

- `asr_gauv`: Gaussian power model, homogeneous variance form.

- `asr_gauh`: Gaussian power model, heterogeneous variance form.

- `asr_lvr`: Linear variance model.

- `asr_lvrv`: Linear variance model, homogeneous variance form.

- `asr_lvrh`: Linear variance model, heterogeneous variance form.

[Package asreml version 4.1.0.176 Index]