GPvecchia

GPvecchia-package

<p>The package can be used for parameter inference and prediction for Gaussian and non-Gaussian spatial data using many popular GP approximation methods.</p>

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) <arXiv:1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <arXiv:1706.02205> and MaxMin ordering proposed in Guinness (2018) <arXiv:1609.05372>.

Marcin Jurek

Scalable Gaussian-Process Approximations

Matthias Katzfuss

Daniel Zilber

Wenlong Gong

Joe Guinness

Jingjie Zhang

Florian Schaefer

GPvecchia function

GPvecchia: fast, scalable Gaussian process approximations — GPvecchia

GPvecchia: fast, scalable Gaussian process approximations

GPvecchia: GPvecchia: fast, scalable Gaussian process approximations

Description

Arguments