dirmeier/gpR: Gaussian processes in R

gpR is a Bayesian machine learning package using latent Gaussian processes. In general supervised machine learning can be divided in classification, where we describe data using discrete labels, and regression, where the labels are continuous.

Getting started

Package details

AuthorSimon Dirmeier
MaintainerSimon Dirmeier, <[email protected]>
LicenseGPL-3
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("dirmeier/gpR")
dirmeier/gpR documentation built on May 15, 2019, 8:50 a.m.