Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.
Changes in version 0.3.1 o The 'partial' argument in 'plot.mlVAR' now defaults to TRUE o Added 'contemporaneous' argument to mlVAR o Added 'lm' estimator for fitting unique VAR models per subject o Added 'rule' argument to plot.mlVAR to set the rule of choosing significance in nodewise GGM estimation
Changes in version 0.3 o Complete rework of package! o mlVAR, mlVARsim, and relevant methods have been completely rewritten o Now support contemporaneous effects and between-subjects effects o Old functions are now labeled mlVAR0, mlVARsim0, etcetera