bigGP-meta

.bigGP

.bigGP.fill

The <code>.bigGP</code> object (an environment) contains information about
 the processes involved in the distributed
 computation. <code>.bigGP.fill</code> is an internal auxiliary function that
 fills the 
 <code>.bigGP</code> object with the values of \(P\), \(D\), \(I\), and \(J\).

Distributes Gaussian process calculations across nodes
in a distributed memory setting, using Rmpi. The bigGP class
provides high-level methods for maximum likelihood with normal data,
prediction, calculation of uncertainty (i.e., posterior covariance
calculations), and simulation of realizations. In addition, bigGP
provides an API for basic matrix calculations with distributed
covariance matrices, including Cholesky decomposition, back/forwardsolve,
crossproduct, and matrix multiplication.

Christopher Paciorek

bigGP

Distributed Gaussian Process Calculations

Benjamin Lipshitz

 Prabhat

Cari Kaufman

Tina Zhuo

Rollin Thomas

bigGP-meta function

<dl> <dt>init</dt>
<dd>logical, indicating whether to initialize values to their
 defaults for before the processes are set up</dd></dl>

Arguments

Information about the number and identities of the processes — bigGP-meta

<dl>

 <dt>init</dt>
<dd>logical, indicating whether to initialize values to their
 defaults for before the processes are set up</dd>

</dl>

bigGP-meta: Information about the number and identities of the processes

Description

Usage

Arguments