logLikelihoodFun.WarpKriging

Evaluate log-likelihood at given theta

Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should
provide most standard Kriging / Gaussian process regression features
(like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages).
'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson,
'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by
Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.

Yann Richet

rlibkriging

Kriging Models using the 'libKriging' Library

Pascal Havé

Yves Deville

Conrad Sanderson

Ciyou Zhu

Richard Byrd

Jorge Nocedal

Jose Luis Morales

Mike Smith

logLikelihoodFun.WarpKriging function

<dl><dt>object</dt>
<dd>WarpKriging object</dd>
<dt>theta</dt>
<dd>range parameter vector</dd>
<dt>return_grad</dt>
<dd>return gradient?</dd>
<dt>return_hess</dt>
<dd>return hessian?</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Evaluate log-likelihood at given theta — logLikelihoodFun.WarpKriging

<dl>

<dt>object</dt>
<dd>WarpKriging object</dd>


<dt>theta</dt>
<dd>range parameter vector</dd>


<dt>return_grad</dt>
<dd>return gradient?</dd>


<dt>return_hess</dt>
<dd>return hessian?</dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

Evaluate log-likelihood at given theta

logLikelihoodFun.WarpKriging: Evaluate log-likelihood at given theta

Description

Usage

Value

Arguments