Package: gplite
Title: Lightweight Implementation for the Most Common Gaussian Process
        Models
Version: 0.11.1
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
LazyData: TRUE
Biarch: TRUE
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-01-28 06:06:51 UTC; juho
Author: Juho Piironen [cre, aut]
Maintainer: Juho Piironen <juho.t.piironen@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-28 15:20:07 UTC
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-02-20 02:54:56 UTC; unix
Archs: gplite.so.dSYM
