Type: Package Package: greta.gp Title: Gaussian Process Modelling in 'greta' Version: 0.2.3 Authors@R: c( person( given = "Nick", family = "Golding", email = "nick.golding.research@gmail.com", role = c("aut", "cph"), comment = c(ORCID = "0000-0001-8916-5570") ), person( given = "Jian", family = "Yen", role = "ctb" ), person( given = "Nicholas", family = "Tierney", email = "nicholas.tierney@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "https://orcid.org/0000-0003-1460-8722") ) ) Description: 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) . License: Apache License (>= 2) URL: https://github.com/greta-dev/greta.gp, https://greta-dev.github.io/greta.gp/ BugReports: https://github.com/greta-dev/greta.gp/issues 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) VignetteBuilder: knitr Config/testthat/edition: 3 Config/Needs/website: greta-dev/greta.pkgdown Encoding: UTF-8 Language: en-GB 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/) Config/roxygen2/version: 8.0.0 NeedsCompilation: no Packaged: 2026-07-21 12:22:10 UTC; root Author: Nick Golding [aut, cph] (ORCID: ), Jian Yen [ctb], Nicholas Tierney [aut, cre] (ORCID: ) Maintainer: Nicholas Tierney Config/pak/sysreqs: python3 Repository: https://cran.r-universe.dev Date/Publication: 2026-07-21 08:20:17 UTC RemoteUrl: https://github.com/cran/greta.gp RemoteRef: HEAD RemoteSha: c58f60a7c6c5d8c880d25883fbe8e9b88e94fbb4