该MVGC工具箱的设计与应用于神经科学实证数据，是一个多变量格兰杰因果分析的新方法。-The MVGC toolbox has been designed with application to empirical neuroscience data in mind，which is a new method for multivariate Granger causality analysis.

时间序列预测 实现时间序列预测功能能能 加油很难是不是研究生是不是很难(times series has been subtracted from each sample ut (see stats/demean). Although all MVGC routines that reference time series data generally accept/return multi-trial data, here for

多元格兰杰因果检验的matlab程序包，是继GCCA之后的升级版，分析结果更加简洁，直观(The matlab package of multivariate Grainger causality test is an upgraded version after GCCA. The result is more concise and intuitive.)

格兰杰因果关系计算，可以试试吧 ，比较经典的算法(Granger causality calculation)