coef&lt;-

Generic function for the replacement of coefficient values.

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

coef&lt;- function

<dl> <dt>object</dt>
<dd>
 
Object having a numeric vector of coefficients, typically a
 covariance kernel object. 
</dd> <dt>...</dt>
<dd>
 
Other arguments for methods.
</dd> <dt>value</dt>
<dd>
 
The value of the coefficients to be set. 
</dd></dl>

Arguments

Generic Function: Replacement of Coefficient Values — coef&lt;-

<dl>

 <dt>object</dt>
<dd>
 
Object having a numeric vector of coefficients, typically a
 covariance kernel object. 
</dd>

 <dt>...</dt>
<dd>
 
Other arguments for methods.
</dd>

 <dt>value</dt>
<dd>
 
The value of the coefficients to be set. 
</dd>

</dl>

coef<-: Generic Function: Replacement of Coefficient Values

Description

Usage

Value

Arguments