logL.GP {COST} | R Documentation |
negtive log-likelihood of Gaussian process
Description
negtive log-likelihood of Gaussian process, with mean vector and variance vector obtained by the empirical version, and it is for parameter estimation in the correlation matrix
Usage
logL.GP(par,Y,s.ob)
Arguments
par |
parameters in the copula function, will be obtained by minimizing the negtive log-likelihood |
Y |
the data set from observed locations, used for parameter estimation |
s.ob |
coordinates of observed locations |
Value
the negative log-likelihood
Author(s)
Yanlin Tang and Huixia Judy Wang
References
Yanlin Tang, Huixia Judy Wang, Ying Sun, Amanda Hering. Copula-based semiparametric models for spatio-temporal data.
[Package COST version 0.1.0 Index]