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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.

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Install

install.packages('spectralGP')

Monthly Downloads

154

Version

1.3.2

License

GPL (>= 2)

Maintainer

Last Published

December 5th, 2014

Functions in spectralGP (1.3.2)