dear members,
I have a heteroscedastic time series which I want to
transform to make it homoscedastic by a box cox transformation. I am using
Otexts by RJ hyndman and George Athanopolous as my textbook. They discuss
transformation and also say the fpp3 and the fable pack
Colleagues,
Your suggestions are elegant and greatly appreciated.
Thomas Subia
On Friday, August 11, 2023 at 11:08:42 PM PDT, Berwin A Turlach
wrote:
G'day Thomas,
On Sat, 12 Aug 2023 04:17:42 + (UTC)
Thomas Subia via R-help wrote:
> Here is my reproducible code for a graph u
Hi Akshay,
The forecast package will do the BoxCox transform and automatically
backtransform the forecasts.
The package also handles xts objects.
For example, modifying the example from the help page of
forecast::forecast for Arima
> dt <- as.Date("2023-01-01") + 1:length(WWWusage)
> a <- xts(WWWu
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