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gptoolsStan
View on CRAN: Click
here
Download and install gptoolsStan package within the R console
Install from CRAN:
install.packages("gptoolsStan")
Install from Github:
library("remotes")
install_github("cran/gptoolsStan") Install by package version:
library("remotes")
install_version("gptoolsStan", "1.0.0") Attach the package and use:
library("gptoolsStan")
Maintained by
Till Hoffmann
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-19
Latest Update: 2025-03-17
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 (2022) .
How to cite:
Till Hoffmann (2023). gptoolsStan: Gaussian Processes on Graphs and Lattices in 'Stan'. R package version 1.0.0, https://cran.r-project.org/web/packages/gptoolsStan. Accessed 26 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for gptoolsStan
Functions, R codes and Examples using
the gptoolsStan R package
Some associated functions: gptools_include_path .
Some associated R codes: model.R . Full gptoolsStan package functions and examples
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