| 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 |