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


[Package asreml version 4.1.0.106 Index]