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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