Mitchell O'Hara-Wild

I still like the idea of having `outliers()` being a function which returns a tibble of outlying observations row numbers (or perhaps better, a tsibble of the outliers themselves). Another...

FYI the `outliers()` generic was added to `{fabletools}` in https://github.com/tidyverts/fabletools/commit/e6631da45c46e0c63c01461b8201417c8c14fb98 There is an outliers method for the `feasts::X_13ARIMA_SEATS()` model, and I hope other models will be supported. There will likely...

Help would be greatly appreciated. The trouble I have with this is designing an appropriate interface which is sufficiently general for any model's tests and features. It can be assumed...

Granger causality and variable importance would be a good start. I also think portmanteau tests like Ljung-Box would also fit in this framework, these wouldn't be specific to any model...

Not yet implemented for `TSLM`. Migrating to {fable}. ``` r library(fable) #> Loading required package: fabletools #> Warning: package 'fabletools' was built under R version 4.0.4 methods("hfitted") #> [1] hfitted.ARIMA*...

Not at the moment, but it would be a good blog post!

The main points (some of which I've written about in vignettes/blogs) would be: * the limitations of `ts` and the need for `tsibble` (sub-daily data, multiple series, leveraging existing user...

We'll be writing a paper about fable and its design but we haven't started on this yet. The fable introduction blog gives an overview of the fable interface: https://www.mitchelloharawild.com/blog/fable/ The...

> I have been using and teaching your Tidyverts approach to forecasting and wanted to say thanks for providing this amazingly well thought-out and implemented resource. In particular, I very...

That said, writing some distributions to character can be extra tricky when they may depend on user environments. For example, `dist_transformed()` uses transformation functions which may not exist in the...