loglik | R Documentation |
This function wraps existing built-in routines to construct the natural logarithm of the integrated likelihood function. The constructed loglikelihood can be directly used for numerical optimization
loglik(par, output, H, d, covmodel, smooth, smoothness_est)
par |
a numerical vector, with which numerical optimization routine such as |
output |
a matrix of outputs |
H |
a matrix of regressors in the mean function of a GaSP model. |
d |
an R object holding the distances. It should be a distance matrix for constructing isotropic correlation matrix, or a list of distance matrices along each input dimension for constructing tensor or ARD types of correlation matrix. |
covmodel |
a list of two strings: family, form, where family indicates the family of covariance functions including the Confluent Hypergeometric class, the Matérn class, the Cauchy class, the powered-exponential class. form indicates the specific form of covariance structures including the isotropic form, tensor form, automatic relevance determination form.
|
smooth |
The smoothness parameter |
smoothness_est |
a logical value indicating whether the smoothness parameter is estimated. |
The natural logarithm of marginal or integrated likelihood
Pulong Ma mpulong@gmail.com
CH
, matern
, gp.optim
, GPBayes-package, GaSP
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