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.
|Author||Chris Paciorek <[email protected]>|
|Maintainer||Chris Paciorek <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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