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
NeedsCompilation: yes
Packaged: 2022-08-24 06:45:39 UTC; juho
Author: Juho Piironen [cre, aut]
Maintainer: Juho Piironen <juho.t.piironen@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-24 07:40:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 00:50:32 UTC; unix
Archs: gplite.so.dSYM
