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3. metric-2d – Metric based models in two dimensions

# metric-2d – Metric based models in two dimensions

###### Description

metric-2d: 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.
Updated on August 9, 2018