Provides a syntax to create and combine Gaussian process kernels
in 'greta'. You can then use these kernels to define either full rank or
sparse Gaussian processes, and project a fitted process to new coordinates.
This lets you include Gaussian process components in the statistical models
you write with 'greta'. This is an extension to the 'greta' software, Golding
(2019) <doi:10.21105/joss.01601>.
| Version: |
0.2.3 |
| Depends: |
greta (≥ 0.6.0), R (≥ 4.1.0) |
| Imports: |
cli, glue, rlang (≥ 1.1.4), tensorflow (≥ 2.7.0) |
| Suggests: |
covr, knitr, rmarkdown, spelling, testthat (≥ 3.1.0) |
| Published: |
2026-07-21 |
| DOI: |
10.32614/CRAN.package.greta.gp |
| Author: |
Nick Golding 
[aut, cph],
Jian Yen [ctb],
Nicholas Tierney
[aut, cre] |
| Maintainer: |
Nicholas Tierney <nicholas.tierney at gmail.com> |
| BugReports: |
https://github.com/greta-dev/greta.gp/issues |
| License: |
Apache License (≥ 2) |
| URL: |
https://github.com/greta-dev/greta.gp,
https://greta-dev.github.io/greta.gp/ |
| NeedsCompilation: |
no |
| SystemRequirements: |
Python (>= 3.7.0) with header files and shared
library; TensorFlow (>= v2.0.0; https://www.tensorflow.org/);
TensorFlow Probability (v0.8.0;
https://www.tensorflow.org/probability/) |
| Language: |
en-GB |
| Materials: |
README, NEWS |
| CRAN checks: |
greta.gp results |