joeguinness/aldo: Approximate Likelihood Data Ordering

This package contains methods for fast computations for Gaussian process models. It is based on Aldo Vecchia's (1988) ordered composite likelihood method, but also has fast algorithms for reordering the observations, finding nearest neighbors, and grouping the likelihood calculations for faster and more accurate results.

Getting started

Package details

AuthorJoe Guinness
MaintainerJoe Guinness <jsguinne@ncsu.edu>
LicenseGNU GPLv3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("joeguinness/aldo")
joeguinness/aldo documentation built on May 19, 2019, 2:59 p.m.