hasGrad

hasGrad,covAll-method

Generic function returning the slot hasGrad of a Covariance Kernel.

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

hasGrad function

<dl> <dt>object</dt>
<dd></dd>A covariance kernel object.
 <dt>...</dt>
<dd></dd>Other arguments for methods.
</dl>

Arguments

Generic Function: Extract slot hasGrad of a Covariance Kernel — hasGrad

<dl>

 <dt>object</dt>
<dd>

A covariance kernel object.
</dd>

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

Other arguments for methods.
</dd>

</dl>

hasGrad: Generic Function: Extract slot hasGrad of a Covariance Kernel

Description

Usage

Value

Arguments