Function allowing to include calendars and external regressors in a format that makes them usable in an estimation processes (seasonal adjustment or pre-processing). The regressors can be created with functions available in the package or come from any other source, provided they are "TS" class objects.
References
More information on auxiliary variables in JDemetra+ online documentation: https://jdemetra-new-documentation.netlify.app/
Examples
# creating one or several external regressors (TS objects), which will
# be gathered in one or several groups
iv1<-intervention_variable(12, c(2000, 1), 60,
starts = "2001-01-01", ends = "2001-12-01")
iv2<- intervention_variable(12, c(2000, 1), 60,
starts = "2001-01-01", ends = "2001-12-01", delta = 1)
# regressors as a list of two groups reg1 and reg2
vars<-list(reg1=list(x = iv1),reg2=list(x = iv2) )
# creating the modelling context
my_context<-modelling_context(variables=vars)
# customize a default specification
# init_spec <- rjd3x13::x13_spec("RSA5c")
# new_spec<- add_usrdefvar(init_spec,name = "reg1.iv1", regeffect="Trend")
# modelling context is needed for the estimation phase
# sa_x13<- rjd3x13::x13(ABS$X0.2.09.10.M, new_spec, context = my_context)