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gplite: General Purpose Gaussian Process Modelling
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.
Getting started
Browse package contents
Package details |
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| Author | Juho Piironen [cre, aut] |
| Maintainer | Juho Piironen <juho.t.piironen@gmail.com> |
| License | GPL-3 |
| Version | 0.13.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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