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 |