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)
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)
a varest2
or GPCAvarest2
object representing a VAR model or a GPCA-varest
object which also contains the GPCA transformation parameters