Package: gptoolsStan
Title: Gaussian Processes on Graphs and Lattices in 'Stan'
Version: 1.0.0
Authors@R: c(
    person("Till", "Hoffmann", , "thoffmann@hsph.harvard.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-4403-0722")),
    person("Jukka-Pekka", "Onnela", , "onnela@hsph.harvard.edu", role = c("ctb"),
           comment = c(ORCID = "0000-0001-6613-8668")))
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>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, cmdstanr
Additional_repositories: https://stan-dev.r-universe.dev
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-12 09:36:16 UTC; root
Author: Till Hoffmann [aut, cre]
        (<https://orcid.org/0000-0003-4403-0722>), Jukka-Pekka Onnela
        [ctb] (<https://orcid.org/0000-0001-6613-8668>)
Maintainer: Till Hoffmann <thoffmann@hsph.harvard.edu>
Repository: https://tillahoffmann.r-universe.dev
Date/Publication: 2025-03-17 19:20:02 UTC
RemoteUrl: https://github.com/cran/gptoolsStan
RemoteRef: HEAD
RemoteSha: c17a0a839568bfda2d46f255f5cd38656ed36780