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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.

Versions across snapshots

VersionRepositoryFileSize
1.3.4 rolling linux/jammy R-4.5 spectralGP_1.3.4.tar.gz 136.7 KiB
1.3.4 rolling linux/noble R-4.5 spectralGP_1.3.4.tar.gz 136.2 KiB
1.3.4 rolling source/ R- spectralGP_1.3.4.tar.gz 24.8 KiB
1.3.4 latest linux/jammy R-4.5 spectralGP_1.3.4.tar.gz 136.7 KiB
1.3.4 latest linux/noble R-4.5 spectralGP_1.3.4.tar.gz 136.2 KiB
1.3.4 latest source/ R- spectralGP_1.3.4.tar.gz 24.8 KiB
1.3.4 2026-04-26 source/ R- spectralGP_1.3.4.tar.gz 24.8 KiB
1.3.4 2026-04-23 source/ R- spectralGP_1.3.4.tar.gz 24.8 KiB
1.3.4 2026-04-09 windows/windows R-4.5 spectralGP_1.3.4.zip 139.9 KiB
1.3.3 2025-04-20 source/ R- spectralGP_1.3.3.tar.gz 24.9 KiB

Dependencies (latest)

Imports