namesCovFuns: Available covariance functions

In SpatioTemporal: Spatio-Temporal Model Estimation

Description

Returns a list of possible covariance function names

Usage

namesCovFuns()

Details

Available covariance functions (d is the distance between points):

exp,exponential

Exponential covariance:

sill * exp( -d/range )

exp2,exponential2,gaussian

Gaussian/double exponential covariance:

sill * exp( -(d/range)^2 )

cubic

Cubic covariance:

sill*(1 - 7*(d/range)^2 + 8.75*(d/range)^3 - 3.5*(d/range)^5 + 0.75*(d/range)^7)

if d<range.

spherical

Spherical covariance:

sill * (1 - 1.5*(d/range) + 0.5*(d/range)^3)

if d<range.

matern

Matern covariance:

sill / (gamma(shape)*2^(shape-1)) * (d*sqrt(8*shape)/range)^shape * besselK( (d*sqrt(8*shape)/range), shape )

cauchy

Cauchy covariance:

sill * (1 + (d/range)^2) ^ -shape

iid

IID covariance, i.e. zero matrix since nugget is added afterwards.

0

Value

Character vector with valid covariance function names.

Author(s)

Johan Lindstrom

See Also

Other covariance functions: crossDist, evalCovFuns, makeSigmaB, makeSigmaNu, parsCovFuns, updateCovf

Examples

  namesCovFuns()

SpatioTemporal documentation built on May 2, 2019, 8:49 a.m.