Mitchell O'Hara-Wild

Sounds good. > At the same time, I'll probably take a dependency on `fable` in a couple places because I really like the use of `vctrs` for things like the...

I've posted a SO answer which shows how a new index can be created using a minimal example of creating a `year()` index: https://stackoverflow.com/questions/65846176/r-tsibble-add-support-for-custom-index/66102152#66102152

Thanks for the interesting application and code. I've had some trouble running the code and so I have made some small improvements: ``` r library(tabulizer) library(tidyverse) library(lubridate) #> #> Attaching...

I'm closing this as I think it's out of scope for `gg_season()`, and it is more appropriate to code up explicitly in ggplot2. Changing the phase of seasonality would require...

Hi, the forecasts do work internally since `{feasts}` directly uses `{seasonal}` to produce the results. However they are not exposed by the `components()` method since the forecasts are not part...

I'm working on writing a `forecast()` method that I described above, however I'm having some trouble with determining how they compute the intervals. When I produce what I expected to...

I've pushed my work in progress code to the `forecastx13` branch of this repo. Here's how it works, and how the intervals currently slightly differ for `h=2`: ``` r library(feasts)...

I'm not quite sure what you mean here, are you trying to produce forecasts of seasonal and seasonally adjusted data? If so, you would typically do: `data %>% model() %>%...

For a hierarchical reconciliation of decomposed data, you can set this up by manipulating the components data: ``` r library(fable) #> Loading required package: fabletools library(feasts) library(tidyr) library(dplyr) #> #>...

While the `data.frame` method for these functions should operate on row indices, it is possible for the `tbl_ts` method to also support time-aware inputs such as durations (#130).