contr.helmod

Modified Helmert contrast (or coding) matrix.

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

contr.helmod function

<dl><dt>n</dt>
<dd>Integer.</dd></dl>

Arguments

Modified Helmert Contrast Matrix — contr.helmod

<dl>

<dt>n</dt>
<dd>Integer.</dd>

</dl>

contr.helmod: Modified Helmert Contrast Matrix

Description

Usage

Value

Arguments

Details

Examples