dot-.cor_stat function

Calculate correlation for the general stationary model

..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.

Returns

Correlations for the general stationary model.

Details

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