powered by
Create table of weights, lags and starting values for Ghysels weight schema, see amweights
expand_amidas(weight, type = c("A", "B", "C"), from = 0, to, m, start)
the names of weight functions
the type of Ghysels schema, "A", "B" or "C"
"A"
"B"
"C"
the high frequency lags from which to start the fitting
to a vector of length two, containing minimum and maximum lags, high frequency if m=1, low frequency otherwise.
m=1
the frequency ratio
the starting values for the weights of the one low frequency lag
a lws_table object, a list with elements weights, lags and starts
lws_table
weights
lags
starts
Given weight function creates lags starting from kmin to kmax and replicates starting values for each low frequency lag.
kmin
kmax
# NOT RUN { expand_amidas("nealmon","A",0,c(1,2),12,c(0,0,0)) # }
Run the code above in your browser using DataLab