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.
| Version: | 1.3 |
| Imports: | graphics, stats |
| Published: | 2010-02-07 |
| Author: | Chris Paciorek |
| Maintainer: | Chris Paciorek <paciorek at alumni.cmu.edu> |
| License: | GPL (≥ 2) |
| Citation: | spectralGP citation info |
| CRAN checks: | spectralGP results |
| Package source: | spectralGP_1.3.tar.gz |
| MacOS X binary: | spectralGP_1.3.tgz |
| Windows binary: | spectralGP_1.3.zip |
| Reference manual: | spectralGP.pdf |
| Old sources: | spectralGP archive |