<code>localKrigeProblemConstructMean</code> and
  <code>localKrigeProblemConstructCov</code> are internal wrapper functions
  for calculating a mean vector or covariance matrix on the slave
  processes. They are called by member functions of the <code>krigeProblem</code> ReferenceClass.

localKrigeProblemConstructMean

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.

localKrigeProblemConstructMean: Calculate Mean Vector or Covariance Matrix on Slave Process

Description

Usage

Arguments

See Also