| data.restricted | Simulated data from the restricted factor-adjusted vector autoregression model | 
| data.unrestricted | Simulated data from the unrestricted factor-adjusted vector autoregression model | 
| factor.number | Factor number selection methods | 
| fnets | Factor-adjusted network estimation | 
| fnets.factor.model | Factor model estimation | 
| fnets.var | 'l1'-regularised Yule-Walker estimation for VAR processes | 
| network | Convert networks into igraph objects | 
| network.fnets | Convert networks estimated by fnets into igraph objects | 
| par.lrpc | Parametric estimation of long-run partial correlations of factor-adjusted VAR processes | 
| plot.factor.number | Plot factor number | 
| plot.fnets | Plotting the networks estimated by fnets | 
| plot.threshold | Plotting the thresholding procedure | 
| predict.fm | Forecasting for factor models | 
| predict.fnets | Forecasting by fnets | 
| print.factor.number | Print factor number | 
| print.fm | Print factor model | 
| print.fnets | Print fnets | 
| print.threshold | Print threshold | 
| sim.restricted | Simulate data from a restricted factor model | 
| sim.unrestricted | Simulate data from an unrestricted factor model | 
| sim.var | Simulate a VAR(1) process | 
| threshold | Threshold the entries of the input matrix at a data-driven level |