These internal functions carry out the calculations of their respective remote
  counterpart functions, e.g., <code>remoteCalc</code>, on the slave
  process. The functions need to be executed on the slave processes.

localCalc

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.

localCalc: Local Calculation Functions

Description

Arguments