These internal functions carry out the tasks of their respective
  primary functions, e.g., <code>collectVector</code>, on the slave
  process. The functions need to be executed on the slave processes.

localCollectVector

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.

localCollectVector: Local Distribution and Collection Functions

Description

Usage

Arguments