dot-.cor_stat: Calculate correlation for the general stationary model

In mcgf: Markov Chain Gaussian Fields Simulation and Parameter Estimation

Calculate correlation for the general stationary model

Description

Calculate correlation for the general stationary model

Usage

..cor_stat(cor_base, lagrangian, lambda, v1, v2, k = 2, h1, h2, u)

Arguments

cor_base	An array of base cross-correlation matrices.
lagrangian	Lagrangian model, none, lagr_tri, or lagr_askey.
lambda	Weight of the Lagrangian term, \lambda\in[0, 1].
v1	Prevailing wind, u-component.
v2	Prevailing wind, v-component.
k	Scale parameter of \|\boldsymbol v\|, k>0. Default is 2.
h1	Horizontal distance matrix or array.
h2	Vertical distance matrix or array, same dimension as h1.
u	Time lag, same dimension as h1.

Details

This function is a special case of .cor_stat(). It is used inside fit_lagr().

Value

Correlations for the general stationary model.

mcgf documentation built on June 29, 2024, 9:09 a.m.