simulate.MLPKriging

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

simulate.MLPKriging function

<dl><dt>object</dt>
<dd>MLPKriging object</dd>
<dt>nsim</dt>
<dd>number of simulations</dd>
<dt>seed</dt>
<dd>random seed</dd>
<dt>x</dt>
<dd>simulation matrix (m x d)</dd>
<dt>will_update</dt>
<dd>logical; if <code>TRUE</code> keep the internal state for a
subsequent <code>update_simulate()</code> call.</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Simulate from an MLPKriging model — simulate.MLPKriging

<dl>

<dt>object</dt>
<dd>MLPKriging object</dd>


<dt>nsim</dt>
<dd>number of simulations</dd>


<dt>seed</dt>
<dd>random seed</dd>


<dt>x</dt>
<dd>simulation matrix (m x d)</dd>


<dt>will_update</dt>
<dd>logical; if <code>TRUE</code> keep the internal state for a
subsequent <code>update_simulate()</code> call.</dd>


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

</dl>

Simulate from an MLPKriging model

simulate.MLPKriging: Simulate from an MLPKriging model

Description

Usage

Value

Arguments