https://github.com/cran/convoSPAT
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Tip revision: 2073c51e8630a7edc1e9682aa1e77927f1d5ed50 authored by Mark D. Risser on 15 January 2021, 23:50:04 UTC
version 1.2.7
Tip revision: 2073c51
make_global_loglik1_kappa.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/convoSPAT_paramEst.R
\name{make_global_loglik1_kappa}
\alias{make_global_loglik1_kappa}
\title{Constructor functions for global parameter estimation.}
\usage{
make_global_loglik1_kappa(data, Xmat, cov.model, Scalemat, Distmat, nugg2.var)
}
\arguments{
\item{data}{A vector or matrix of data to use in the likelihood
calculation.}

\item{Xmat}{The design matrix for the mean model.}

\item{cov.model}{String; the covariance model.}

\item{Scalemat}{Matrix; contains the scaling quantities from the
covariance function.}

\item{Distmat}{Matrix; contains the scaled distances.}

\item{nugg2.var}{Fixed values for the covariance of the second nugget term.}
}
\value{
This function returns another function for use in \code{optim}.
}
\description{
This function generates another function to be used within \code{optim} to
obtain maximum likelihood estimates of
global variance parameters tausq, sigmasq, and nu.
}
\examples{
\dontrun{
make_global_loglik1_kappa( data, Xmat, cov.model, Scalemat, Distmat, nugg2.var )
}

}
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