make_covmat: Make covariance matrix.
In ericwfox/slmrf:

make_covmat

R Documentation

Make covariance matrix.

Make covariance matrix with different types of covariance models.

make_covmat(theta, dist_mtx, is_log, include_nugg, type = "exponential")

`theta`	numeric vector with 3 covariance parameters: nugget, partial sill, and range (in that order).
`dist_mtx`	Matrix of pairwise distances between data locations.
`is_log`	logical. If `TRUE` then the values of `theta` are the natural logarithms of the parameters.
`include_nugg`	logical. Whether or not to include the nugget along the diagonal.
`type`	character. Type of covariance model: `exponential`, `gaussian`, or `spherical`; default is `exponential`.