predict.NestedKriging

Predict from a <code>NestedKriging</code> object.

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

predict.NestedKriging function

<dl><dt>object</dt>
<dd>S3 NestedKriging object.</dd>
<dt>x</dt>
<dd>Input points (matrix) where to predict.</dd>
<dt>return_stdev</dt>
<dd>Logical, return standard deviation (default TRUE).</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Predict from a NestedKriging object. — predict.NestedKriging

<dl>

<dt>object</dt>
<dd>S3 NestedKriging object.</dd>


<dt>x</dt>
<dd>Input points (matrix) where to predict.</dd>


<dt>return_stdev</dt>
<dd>Logical, return standard deviation (default TRUE).</dd>


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

</dl>

Predict from a <code>NestedKriging</code> object.

predict.NestedKriging: Predict from a `NestedKriging` object.

Description

Usage

Value

Arguments