metric-2D_vs {asreml}R Documentation

Metric-based variance models in two dimensions

Description

Metric-based variance structures in two dimensions. Includes 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).

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.

Functions


[Package asreml version 4.2.0.480 Index]