Hi Akshay, If you do > help(package="forecast") you will find that arfima is listed. Unfortunately, I don't see any ARCH-type models there, but you should check out the help page results.
Good luck, Eric On Mon, Aug 14, 2023 at 8:04 PM akshay kulkarni <akshay...@hotmail.com> wrote: > > Dear Eric, > THanks for the reply...will this also work with arfima() ? > What if I want to fit a model like GARCH and friends? > > THanking you, > Yours sincerely, > AKSHAY M KULKARNI > ________________________________ > From: Eric Berger <ericjber...@gmail.com> > Sent: Sunday, August 13, 2023 10:34 AM > To: akshay kulkarni <akshay...@hotmail.com> > Cc: R help Mailing list <r-help@r-project.org> > Subject: Re: [R] time series transformation.... > > 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(WWWusage, order.by=dt) > > fit1 <- Arima(a, c(3,1,0)) > > fit2 <- Arima(a, lambda=0.5, c(3,1,0)) ## applies the Box-Cox transform > > with lambda=0.5 > > par(mfrow=c(1,2)) > > plot(forecast(fit1)) > > plot(forecast(fit2)) > > HTH, > Eric > > p.s. RJH is the author/maintainer of the forecast package > > > On Sun, Aug 13, 2023 at 1:01 AM akshay kulkarni <akshay...@hotmail.com> wrote: > > > > 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 package > > automatically back transforms the point forecast. they also discuss the > > process which I find to be very cumbersome. Is there any R package which > > automatically back transforms the point forecast when I use xts objects ( > > RJH and GA use tsibble objects) with arfima/arima in the forecast package? > > > > THanking you, > > Yours sincerely, > > AKSHAY M KULKARNI > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.