Package: gplite
Title: General Purpose Gaussian Process Modelling
Version: 0.13.0
Authors@R: c(person("Juho", "Piironen", role = c("cre", "aut"), email = "juho.t.piironen@gmail.com"))
Description: 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.
Depends: R (>= 3.4.0),
Imports: Matrix, methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
Biarch: TRUE
RoxygenNote: 7.2.0
Suggests: testthat, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Repository: https://jpiironen.r-universe.dev
Date/Publication: 2022-08-24 06:44:15 UTC
RemoteUrl: https://github.com/jpiironen/gplite
RemoteRef: HEAD
RemoteSha: 5b5fe7c6a45e4020e43bf3dcb6ff6ee5e2d51d32
NeedsCompilation: yes
Packaged: 2026-10-01 08:13:37 UTC; root
Author: Juho Piironen [cre, aut]
Maintainer: Juho Piironen <juho.t.piironen@gmail.com>