Comments (4)
Having auto.arima and arima handle multiple seasonality would be of tremendous help to the forecasting community. Looking forward for this enhancement.
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this would be awesome :)
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The way to handle this is it to use fourier terms in Arima and auto.arima. fourier() now handles multiple seasonal time series.
from forecast.
thanks
2016-03-13 9:39 GMT+01:00 Rob J Hyndman [email protected]:
The way to handle this is it to use fourier terms in Arima and auto.arima.
fourier() now handles multiple seasonal time series.—
Reply to this email directly or view it on GitHub
#38 (comment)
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Marco De Nadai
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http://www.marcodena.it/
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Related Issues (20)
- Theil-U statistic in accuracy HOT 1
- Change to new cran checks badge URL HOT 2
- test failure on Alpine Linux 3.17 (from test-clean.R:21) HOT 1
- Release forecast 8.20.0
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- Release forecast 8.21
- Replace aes_() calls HOT 2
- Unpredictable behavior when calling nnetar() with p = 0 HOT 2
- ETS() Non Seasonal data error HOT 3
- dm.test function HOT 3
- download from cran fails? HOT 2
- nnetar doesn't work correctly for seasonal time series HOT 3
- Select the number of harmonics in the TBATS model HOT 3
- tsCV not accepting other arguments passed to forecastfunction when xreg is present HOT 1
- I want to fit a harmonic regression model to the Lotka-Volterra model HOT 1
- Release forecast 8.21.1
- auto.arima error: " Error in seq.int(trunc((start - xtsp[1L]) * xfreq + 1.5), trunc((end - : 'from' must be of length 1 " HOT 1
- auto.arima error: " Error in seq.int(trunc((start - xtsp[1L]) * xfreq + 1.5), trunc((end - : 'from' must be of length 1 " HOT 1
- Differentiation xregs in Arima HOT 1
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