Package: gptoolsStan 0.1.0

gptoolsStan: Gaussian Processes on Graphs and Lattices in 'Stan'

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) <arxiv:2301.08836>.

Authors:Till Hoffmann [aut, cre], Jukka-Pekka Onnela [ctb]

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NEWS

# Install 'gptoolsStan' in R:
install.packages('gptoolsStan', repos = c('https://tillahoffmann.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 6 scripts 139 downloads 1 exports 0 dependencies

Last updated 11 months agofrom:f95b15926b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 16 2024
R-4.5-winOKOct 16 2024
R-4.5-linuxOKOct 16 2024
R-4.4-winOKOct 16 2024
R-4.4-macOKOct 16 2024
R-4.3-winOKOct 16 2024
R-4.3-macOKOct 16 2024

Exports:gptools_include_path

Dependencies:

Getting Started with gptools in R

Rendered fromgetting_started.Rmdusingknitr::rmarkdownon Oct 16 2024.

Last update: 2023-12-20
Started: 2023-12-20