contents.m

来自「计量工具箱」· M 代码 · 共 23 行

% 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