add.blocks

calc.variances

change.param

copy

expand.gpgrid

getgrid

Gibbs.sample.coeff

Hastings.coeff

image_plot_info

image_plot_plt

logdensity

propose.coeff

simulate

updateprocess

zero.coeff


  These functions are generics; see the help files associated with the
  spectralGP methods.


models

smooth

spatial

spectralGP-generic

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.

Chris Paciorek

spectralGP

Approximate Gaussian Processes Using the Fourier Basis

spectralGP-generic function


  spectralGP generic functions


spectralGP-generic: spectralGP generic functions

Description

Arguments