gplite: General Purpose Gaussian Process Modelling (original) (raw)
Implements the most common Gaussian process (GP) models using Laplace and expectation propagation (EP) approximations, maximum marginal likelihood (or posterior) inference for the hyperparameters, and sparse approximations for larger datasets.
| Version: | 0.13.0 |
|---|---|
| Depends: | R (≥ 3.4.0) |
| Imports: | Matrix, methods, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown, ggplot2 |
| Published: | 2022-08-24 |
| DOI: | 10.32614/CRAN.package.gplite |
| Author: | Juho Piironen [cre, aut] |
| Maintainer: | Juho Piironen <juho.t.piironen at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | gplite results |
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