names.gp

Gives the names of the elements of the GP object.

models

smooth

spatial

Routines for creating, manipulating, and performing
Bayesian inference about Gaussian processes in
one and two dimensions using the Fourier basis approximation:
simulation and plotting of processes, calculation of
coefficient variances, calculation of process density,
coefficient proposals (for use in MCMC).  It uses R environments to
store GP objects as references/pointers.

Christopher Paciorek

spectralGP

Approximate Gaussian Processes Using the Fourier Basis

names.gp function

<dl> <dt>x</dt>
<dd>Spectral GP object.</dd> <dt>...</dt>
<dd>Other arguments.</dd></dl>

Arguments

Christopher Paciorek <a href="/link/paciorek%40alumni.cmu.edu?package=spectralGP&version=1.3.4" data-mini-rdoc="spectralGP::paciorek@alumni.cmu.edu">paciorek@alumni.cmu.edu</a>

Author

The names of the elements of a GP object — names.gp

<dl>

 <dt>x</dt>
<dd>Spectral GP object.</dd>

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

</dl>

Christopher Paciorek <a href='mailto:paciorek@alumni.cmu.edu'>paciorek@alumni.cmu.edu</a>

names.gp: The names of the elements of a GP object

Description

Usage

Value

Arguments

Author

References

See Also

Examples