Approximate Gaussian Processes Using the Fourier Basis R package spectralGP version 1.3.4 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 Depends: R (>= 1.9.0) Imports: graphics, stats, grDevices Christopher Paciorek <paciorek@stat.berkeley.edu> Comprehensive R Archive Network (CRAN) Christopher Paciorek [aut, cre] GPL (>= 2) 2026-02-05 application/tgz https://CRAN.R-project.org/package=spectralGP doi:10.32614/CRAN.package.spectralGP