make_global_loglik1_kappa: Constructor functions for global parameter estimation.

In convoSPAT: Convolution-Based Nonstationary Spatial Modeling

Description

This function generates another function to be used within optim to obtain maximum likelihood estimates of global variance parameters tausq, sigmasq, and nu.

Usage

make_global_loglik1_kappa(data, Xmat, cov.model, Scalemat, Distmat, nugg2.var)

Arguments

data	A vector or matrix of data to use in the likelihood calculation.
Xmat	The design matrix for the mean model.
cov.model	String; the covariance model.
Scalemat	Matrix; contains the scaling quantities from the covariance function.
Distmat	Matrix; contains the scaled distances.
nugg2.var	Fixed values for the covariance of the second nugget term.

Value

This function returns another function for use in optim.

Examples

## Not run: 
make_global_loglik1_kappa( data, Xmat, cov.model, Scalemat, Distmat, nugg2.var )

## End(Not run)

convoSPAT documentation built on Jan. 16, 2021, 5:31 p.m.