Gaussian processes in greta | Example
Package: greta.gp 0.2.3
Nicholas Tierney
greta.gp: Gaussian Process Modelling in 'greta'
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>.
Authors:
greta.gp_0.2.3.tar.gz
greta.gp_0.2.3.tar.gz(r-4.7-any)greta.gp_0.2.3.tar.gz(r-4.6-any)
greta.gp_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
greta.gp/json (API)
| # Install 'greta.gp' in R: |
| install.packages('greta.gp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/greta-dev/greta.gp/issues
Pkgdown/docs site:https://greta-dev.github.io
Last updated from:c58f60a7c6. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 207 | ||
| source / vignettes | OK | 253 | ||
| linux-release-x86_64 | OK | 199 | ||
| wasm-release | OK | 125 |
Exports:biasconstantcosineexpogpiidlinearmat12mat32mat52periodicpolynomialprojectrational_quadraticrbfwhite
Dependencies:abindbackportsbase64enccallrclicodacodetoolsconfigcrayondigestfutureglobalsgluegretaherehmsjsonlitelatticelifecyclelistenvmagrittrMatrixotelparallellypkgconfigpngprettyunitsprocessxprogresspsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitensorflowtfautographtfrunstidyselectvctrswhiskerwithryamlyesno
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Define a Gaussian process | gp project |
| Gaussian process modelling in greta | greta.gp-package greta.gp |
| Gaussian process kernels | bias constant cosine expo iid kernels linear mat12 mat32 mat52 periodic polynomial rational_quadratic rbf white |
