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gptoolsStan

Gaussian Processes on Graphs and Lattices in 'Stan'

v1.0.0 · Mar 17, 2025 · MIT + file LICENSE

Description

Gaussian processes are flexible distributions to model functional data. Whilst theoretically appealing, they are computationally cumbersome except for small datasets. This package implements two methods for scaling Gaussian process inference in 'Stan'. First, a sparse approximation of the likelihood that is generally applicable and, second, an exact method for regularly spaced data modeled by stationary kernels using fast Fourier methods. Utility functions are provided to compile and fit 'Stan' models using the 'cmdstanr' interface. References: Hoffmann and Onnela (2025) <doi:10.18637/jss.v112.i02>.

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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

package dependencies

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Version History

new 1.0.0 Mar 10, 2026
updated 1.0.0 ← 0.2.0 diff Mar 16, 2025
updated 0.2.0 ← 0.1.0 diff Dec 11, 2024
new 0.1.0 Dec 18, 2023