checkPar

Check length/names for a vector of values for parameters or
bounds.

Gaussian process regression with an emphasis on kernels.
Quantitative and qualitative inputs are accepted. Some pre-defined
kernels are available, such as radial or tensor-sum for
quantitative inputs, and compound symmetry, low rank, group kernel
for qualitative inputs. The user can define new kernels and
composite kernels through a formula mechanism. Useful methods
include parameter estimation by maximum likelihood, simulation,
prediction and leave-one-out validation.

Olivier Roustant

kergp

Gaussian Process Laboratory

checkPar function

<dl><dt>value</dt>
<dd>Numeric vector of values.</dd>
<dt>parN</dt>
<dd>Number of wanted values.</dd>
<dt>parNames</dt>
<dd>character. Names of the wanted values.</dd>
<dt>default</dt>
<dd>numeric. Default value.</dd></dl>

Arguments

Check Length and Names of a Vector of Values for Parameters or
Bounds — checkPar

<dl>

<dt>value</dt>
<dd>Numeric vector of values.</dd>


<dt>parN</dt>
<dd>Number of wanted values.</dd>


<dt>parNames</dt>
<dd>character. Names of the wanted values.</dd>


<dt>default</dt>
<dd>numeric. Default value.</dd>

</dl>

checkPar: Check Length and Names of a Vector of Values for Parameters or Bounds

Description

Usage

Value

Arguments

Examples