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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.

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

Documentation:

Reference manual: gplite.pdf
Vignettes: gplite Quickstart

Downloads:

Package source: gplite_0.13.0.tar.gz
Windows binaries: r-devel: gplite_0.13.0.zip, r-release: gplite_0.13.0.zip, r-oldrel: gplite_0.13.0.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gplite to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.