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 $J$.

bigGP-meta

bigGP distributes Gaussian process calculations across
        nodes in a distributed memory setting, using Rmpi. The 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.

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

Description

Usage

Arguments