spectralGP (version 1.3.2)
Approximate Gaussian processes Using the Fourier Basis
Description
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.