GauPro_kernel

Kernel R6 class
Kernel R6 class

Fits a Gaussian process model to data. Gaussian processes
are commonly used in computer experiments to fit an interpolating model.
The model is stored as an 'R6' object and can be easily updated with new
data. There are options to run in parallel (not for Windows), and 'Rcpp'
has been used to speed up calculations. Other R packages that perform
similar calculations include 'laGP', 'DiceKriging', 'GPfit', and 'mlegp'.

Collin Erickson

GauPro

Gaussian Process Fitting

GauPro_kernel function

<code><a rd-options="" href="/link/R6Class?package=GauPro&version=0.2.4" data-mini-rdoc="GauPro::R6Class">R6Class</a></code> object.

Format

<dl class="dl-horizontal">
<dt><code>D</code></dt><dd>Number of input dimensions of data</dd>
</dl>

Public fields

<h3>Public methods</h3><ul>
<li><a href="/link/GauPro_kernel%24clone()?package=GauPro&version=0.2.4" data-mini-rdoc="GauPro::GauPro_kernel$clone()"><code>GauPro_kernel$clone()</code></a></li>
</ul>
<h3>Method <code>clone()</code></h3>The objects of this class are cloneable with this method.
<h3>Usage</h3><pre>GauPro_kernel$clone(deep = FALSE)</pre><h3>Arguments</h3><dl class="dl-horizontal">
<dt><code>deep</code></dt><dd>Whether to make a deep clone.</dd>
</dl>

Methods

Kernel R6 class — GauPro_kernel

<code><a rd-options='' href='R6Class'>R6Class</a></code> object.

<dl class='dl-horizontal'>
<dt><code>D</code></dt><dd>Number of input dimensions of data</dd>
</dl>

GauPro_kernel: Kernel R6 class

Description

Arguments

Value

Format

Public fields

Methods

Public methods

Method `clone()`

Usage

Arguments

Examples

Description

Arguments

Value

Format

Public fields

Methods

Public methods

Method clone()

Usage

Arguments

Examples

Method `clone()`