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Approximate Gaussian processes using the Fourier basis
Chris Paciorek <>
GPL (>= 2)
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.
Package Version Released
spectralGP 1.3.1 3 years 35 weeks ago
spectralGP 1.3 6 years 24 weeks ago
spectralGP 1.2
spectralGP 1.1
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