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    -------- matrix exponential model estimation functions --------

    mess        : maximum likelihood MESS estimates
    mess_d      : An example of using mess() on a small dataset
    mess_d2     : An example of using mess() on a large dataset
    mess_g      : Bayesian estimates of the matrix exponential spatial model (mess)
    mess_g1     : Bayesian estimates of the matrix exponential spatial model (mess)
    mess_g1d    : An example of using mess_g1() on a small data set
    mess_g1d2   : An example of using mess_g1() on a large data set
    mess_g2     : Bayesian estimates of the matrix exponential spatial model (mess)
    mess_g2d    : An example of using mess_g2()
    mess_g2d2   : An example of using mess_g()
    mess_g3     : Bayesian estimates of the matrix exponential spatial model (mess)
    mess_g3d    : An example of using mess_g3() on a small dataset
    mess_g3d2   : An example of using mess_g3() on a large dataset
    mess_gd     : An example of using mess_g() on a small data set
    mess_gd2    : An example of using mess_g() on a large data set
    mess_like   : evaluate the likelihood for the hessian function
    messv_g3    : Bayesian estimates of the matrix exponential spatial model (mess)
    messv_g3d   : An example of using messv_g3() on a small dataset
    messv_g3d2  : An example of using messv_g3() on a large data set
    prt_mess    : Prints output using MESS models results structures