gplite: Implementation for the Most Common Gaussian Process Models

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.

Package details

AuthorJuho Piironen [cre, aut]
MaintainerJuho Piironen <juho.t.piironen@gmail.com>
LicenseGPL-3
Version0.12.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gplite")

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gplite documentation built on April 30, 2021, 5:09 p.m.