statsforecast
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Exponential smoothing produces different values to R's forecast library
What happened + What you expected to happen
Using R's forecast package, the time series y = c(5,6,3,2,6,3,9) produces the following values when using Holt-Winter's method:
- alpha: 6.610696e-05
- fit: c(5.0000, 5.0001, 4.9999, 4.9997, 4.9998, 4.9997, 4.9999)
Using StatsForecast, which is supposed to be a mirror of the R package, we obtain an alpha of 1.00000000e-04 and different fitted values.
Versions / Dependencies
forecast R package version 8.16 StatsForecast version
Reproduction script
For R, use Holt-Winters function hw and for StatsForecast, use functions from Exponential Smoothing
Issue Severity
Low: It annoys or frustrates me.
Hi!
I got the same issue (but with slightly higher severity :( )... are there any updates on this?
Thanks in advance!
Hey @AFilipaVEL, can you please provide a reproducible example?