vars packageEither creates a VAR model or chooses a VAR model by using VAR or VARselect commands of vars package
getVARmodel(data, suffix = c("_Tx", "_Tn"), sep = "", p = 1,
type = "none", season = NULL, exogen = NULL, lag.max = NULL,
ic = "AIC", activateVARselect = FALSE, na.rm = TRUE,
n_GPCA_iteration = 0, n_GPCA_iteration_residuals = n_GPCA_iteration,
extremes = TRUE)a varest2 or GPCAvarest2 object representing a VAR model or a GPCA-varest object which also contains the GPCA transformation parameters
see VAR and addsuffixes
see addsuffixes
separator element. See addsuffixes).
lag considered for the auto-regression see VAR
see VAR
see VAR
see VAR
see VARselect
see VAR
logical variables. If TRUE, the function VARselect is run. Default and recommended use is FALSE.
logical variables. If TRUE (default), it takes into account NA values
number of iterations of Gaussianization process for data. Default is 0 (no Gaussianization)
number of iterations of Gaussianization process for data. Default is 0 (no Gaussianization)
see normalizeGaussian_severalstations and GPCA
Emanuele Cordano, Emanuele Eccel