| common.predict | Forecasting the factor-driven common component |
| 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 |
| idio.predict | Forecasting idiosyncratic VAR process |
| par.lrpc | Parametric estimation of long-run partial correlations of factor-adjusted VAR processes |
| plot.fnets | Plotting the networks estimated by fnets |
| predict.fm | Forecasting for factor models |
| predict.fnets | Forecasting by fnets |
| 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 | Edge selection for VAR parameter, inverse innovation covariance, and long-run partial correlation matrices |