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:
gptoolsStan_0.1.0.tar.gz
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gptoolsStan_0.1.0.tgz(r-4.4-any)gptoolsStan_0.1.0.tgz(r-4.3-any)
gptoolsStan_0.1.0.tar.gz(r-4.5-noble)gptoolsStan_0.1.0.tar.gz(r-4.4-noble)
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gptoolsStan.pdf |gptoolsStan.html✨
gptoolsStan/json (API)
NEWS
# Install 'gptoolsStan' in R: |
install.packages('gptoolsStan', repos = c('https://tillahoffmann.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:f95b15926b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 16 2024 |
R-4.5-win | OK | Oct 16 2024 |
R-4.5-linux | OK | Oct 16 2024 |
R-4.4-win | OK | Oct 16 2024 |
R-4.4-mac | OK | Oct 16 2024 |
R-4.3-win | OK | Oct 16 2024 |
R-4.3-mac | OK | Oct 16 2024 |
Exports:gptools_include_path
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Get the 'gptoolsStan' include path for compiling 'Stan' programs. | gptools_include_path |