CRAN/E | GPvecchia

GPvecchia

Scalable Gaussian-Process Approximations

Installation

About

Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) . Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) and MaxMin ordering proposed in Guinness (2018) .

Key Metrics

Version 0.1.7
Published 2024-03-12 47 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks GPvecchia results

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Maintainer

Maintainer

Marcin Jurek

marcinjurek1988@gmail.com

Authors

Matthias Katzfuss

aut

Marcin Jurek

aut / cre

Daniel Zilber

aut

Wenlong Gong

aut

Joe Guinness

ctb

Jingjie Zhang

ctb

Florian Schaefer

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

GPvecchia

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

GPvecchia archive

Imports

Rcpp ≥ 1.0.9
methods
stats
sparseinv
fields
Matrix ≥1.5.1
parallel
GpGp
FNN

Suggests

mvtnorm
knitr
rmarkdown
testthat

LinkingTo

Rcpp
RcppArmadillo
BH

Reverse Depends

GeoModels

Reverse Imports

VeccTMVN