NoiseKM

This is a thin compatibility wrapper. Use
 <code>KM(noise.var = ...)</code> directly instead.

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

NoiseKM function

<dl><dt>...</dt>
<dd>Arguments passed to <code>KM</code>.</dd>
<dt>noise.var</dt>
<dd>Numeric vector of known per-point noise variances.</dd></dl>

Arguments

Create a KM object with heteroscedastic noise (deprecated) — NoiseKM

<dl>

<dt>...</dt>
<dd>Arguments passed to <code>KM</code>.</dd>


<dt>noise.var</dt>
<dd>Numeric vector of known per-point noise variances.</dd>

</dl>

Create a KM object with heteroscedastic noise (deprecated)

NoiseKM: Create a KM object with heteroscedastic noise (deprecated)

Description

Usage

Value

Arguments