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r / packages / r-spectralgp

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.

Type Size Name Uploaded Downloads Labels
conda 147.2 kB | noarch/r-spectralgp-1.3.3-r43h142f84f_0.tar.bz2  1 year and 1 month ago 19 main
conda 147.8 kB | noarch/r-spectralgp-1.3.3-r42h142f84f_0.tar.bz2  2 years and 7 months ago 48 main
conda 148.3 kB | noarch/r-spectralgp-1.3.3-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 116 main

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