Package: greta.gam 0.2.0

Nicholas Tierney

greta.gam: Generalised Additive Models in 'greta' using 'mgcv'

A 'greta' (Golding (2019) <doi:10.21105/joss.01601>) module that lets you use 'mgcv' smoother functions and formula syntax to define smooth terms for use in a 'greta' model. You can then define your own likelihood to complete the model, and fit it by Markov Chain Monte Carlo (MCMC).

Authors:Nick Golding [aut, cph], Nicholas Tierney [aut, cre], David L Miller [aut]

greta.gam_0.2.0.tar.gz
greta.gam_0.2.0.tar.gz(r-4.5-noble)greta.gam_0.2.0.tar.gz(r-4.4-noble)
greta.gam_0.2.0.tgz(r-4.4-emscripten)greta.gam_0.2.0.tgz(r-4.3-emscripten)
greta.gam.pdf |greta.gam.html
greta.gam/json (API)
NEWS

# Install 'greta.gam' in R:
install.packages('greta.gam', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/greta-dev/greta.gam/issues

Pkgdown site:https://greta-dev.github.io

3.00 score 6 scripts 2 mentions 2 exports 48 dependencies

Last updated 9 days agofrom:1ae9485c8e. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-linuxOKDec 17 2024

Exports:evaluate_smoothssmooths

Dependencies:abindbackportsbase64enccallrclicodacodetoolsconfigcrayondigestfutureglobalsgluegretaherehmsjsonlitelatticelifecyclelistenvmagrittrMatrixmgcvnlmeparallellypkgconfigpngprettyunitsprocessxprogresspsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitensorflowtfautographtfrunstidyselectvctrswhiskerwithryamlyesno

Getting Started

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Dec 17 2024.

Last update: 2024-12-17
Started: 2024-12-17