Implementation for the Most Common Gaussian Process Models

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.


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install.packages("gplite")

0.12.0 by Juho Piironen, 2 months ago


Browse source code at https://github.com/cran/gplite


Authors: Juho Piironen [cre, aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Matrix, methods, Rcpp

Suggests testthat, knitr, rmarkdown, ggplot2

Linking to Rcpp, RcppArmadillo


See at CRAN