CRAN/E | GpGp

GpGp

Fast Gaussian Process Computation Using Vecchia's Approximation

Installation

About

Functions for fitting and doing predictions with Gaussian process models using Vecchia's (1988) approximation. Package also includes functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) , and the reordering and grouping methods are from Guinness (2018) doi:10.1080/00401706.2018.1437476. Model fitting employs a Fisher scoring algorithm described in Guinness (2019) .

Key Metrics

Version 0.5.0
R ≥ 2.10
Published 2024-02-18 40 days ago
Needs compilation? yes
License MIT
License File
CRAN checks GpGp results

Downloads

Yesterday 35 0%
Last 7 days 101 -12%
Last 30 days 551 -22%
Last 90 days 1.875 +45%
Last 365 days 5.889 +3%

Maintainer

Maintainer

Joseph Guinness

joeguinness@gmail.com

Authors

Joseph Guinness

aut / cre

Matthias Katzfuss

aut

Youssef Fahmy

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GpGp archive

Depends

R ≥ 2.10

Imports

Rcpp ≥ 0.12.13
FNN

Suggests

fields
knitr
rmarkdown
testthat
maps

LinkingTo

Rcpp
RcppArmadillo
BH

Reverse Imports

deepgp
GeoModels
GPvecchia
SeBR
VeccTMVN