FMGM_synthetic_data_example.zip

Simulated 2-group mixed data for fused Markov random field (FMGM) method, and an example script for analysis. Data contains 500 observations (250 for each group) for 100 variables (50 Gaussian & 50 4-level categorial). Data was generated with Markov chain Monte Carlo with fully conditional distributions based on networks generated with power-law network structures.

本数据集为适配融合马尔可夫随机场（fused Markov random field，FMGM）方法的模拟二组混合数据，并附带分析用示例脚本。数据集包含100个变量的500条观测样本（两组各250条），其中50个为高斯（Gaussian）分布变量，剩余50个为四分类（4-level categorial）变量。本数据集通过基于幂律网络结构生成的网络，结合全条件分布的马尔可夫链蒙特卡洛（Markov chain Monte Carlo）方法生成。