contents.m
来自「计量工具箱」· M 代码 · 共 9 行
M
9 行
% Spatial probit model with spatial autogressive individual effects% % semip_g : Bayesian Probit model with individual effects exhibiting spatial dependence:% semip_gd : An example of using semip_g and semip_gc% semip_gd2 : a comparison of Metropolis-Hastings vs inversion sampling for rho% semip_gc : C-MEX version of: Bayesian Probit with spatial individual effects:% semip_gcd : An example of using semip_gc% semip_gcd2 : An example of using the seed function semip_gc
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