logMargPost

Compute the log-Marginal Posterior of a model given in
<code>object</code>.

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

logMargPost function

<dl><dt>object</dt>
<dd>An object representing a fitted model.</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Compute log-Marginal Posterior — logMargPost

<dl>

<dt>object</dt>
<dd>An object representing a fitted model.</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

Compute log-Marginal Posterior

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logMargPost: Compute log-Marginal Posterior

Description

Usage

Value

Arguments