dot-.cor_sep function

Calculate correlation for separable model

..cor_sep(nugget, c, gamma = 1/2, a, alpha, h, u)

Arguments

• nugget: The nugget effect $\in[0, 1]$.
• c: Scale parameter of cor_exp, $c>0$.
• gamma: Smooth parameter of cor_exp, $\gamma\in(0, 1/2]$.
• a: Scale parameter of cor_cauchy, $a>0$.
• alpha: Smooth parameter of cor_cauchy, $\alpha\in(0, 1]$.
• h: Euclidean distance matrix or array.
• u: Time lag, same dimension as h.

Returns

Correlations for separable model.

Details

This function is a special case of .cor_fs(). It is used inside fit_base().