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.

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>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: gplite results


Reference manual: gplite.pdf
Vignettes: gplite Quickstart


Package source: gplite_0.13.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gplite_0.13.0.tgz, r-oldrel (arm64): gplite_0.13.0.tgz, r-release (x86_64): gplite_0.13.0.tgz, r-oldrel (x86_64): gplite_0.13.0.tgz
Old sources: gplite archive


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