Approximate Gaussian processes using the Fourier basis 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. Software Imports: graphics,stats Chris Paciorek <paciorek@alumni.cmu.edu> Chris Paciorek <paciorek@alumni.cmu.edu> GPL (>= 2) 2010-02-07 application/tgz http://CRAN.R-project.org/package=spectralGP