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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