I'm playing with hourly univariate data and try to fit an arima model with more than one seasonality (daily, weekly) using a dummy for the weekly seasonality. I found a very good post explaining a similar problem but after many trials I'm running out of ideas with the following error:
- Error in optim(init[mask], armaCSS, method = optim.method, hessian = FALSE, : non-finite value supplied by optim
My code is the following:
- library(lubridate)
- start=dmy_hms("25/02/2011 00:00:00")
- index=start + c(0:1000) * hours(1)
- week = wday(index)
- xreg_w = model.matrix(~0+as.factor(week))
- colnames(xreg_w) = c("Mon","Tue","Wed","Thu","Fri","Sat","Sun")
- freq=24
- set.seed(1234)
- y=ts(log(35+10*rnorm(1001)),f=freq)
- library(forecast)
- model = Arima(y, order=c(0,0,0), seasonal=list(order=c(1,0,0), period=24),
- xreg=xreg_w)


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