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spectralGP: 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.
Getting started
Browse package contents
Package details |
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| Author | Chris Paciorek <paciorek@alumni.cmu.edu> |
| Maintainer | Chris Paciorek <paciorek@alumni.cmu.edu> |
| License | GPL (>= 2) |
| Version | 1.3.3 |
| URL | http://www.jstatsoft.org/v19/a2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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