fabletools
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tidyverts
General fable features useful for extension packages
``` > tsibble(quantity = dist_normal(1, 1:6), outlook = 1:6, index = "outlook") %>% as_fable(response = "quantity", distribution = "quantity") # A fable: 6 x 2 [1] quantity outlook 1 N(1,...
Apologies if the title is somewhat unclear; I wasn't quite sure how to phrase the issue, but hopefully the example below is clear. I'm attempting to add a new lst_mdl...
In the below example, using a training set of 2010:2019 produces the following chart:  Note the break in the forecasted mean. This does not happen when either setting training...
``` r library(tsibble) library(fable) library(dplyr) library(lubridate) jan14_vic_elec filter(yearmonth(Time) == yearmonth("2014 Jan")) |> index_by(Date = as_date(Time)) |> summarise( Demand = sum(Demand), Temperature = max(Temperature) ) jan14_vic_elec |> model(TSLM(Demand ~ Temperature)) |>...
I'm trying to do a middle-out forecast with a hierarchy of several levels, however when I try with a hierarchy that is more than 2 levels, then I run into...
In batch processing consistency is king. Sometimes we might apply `filter` on a dataset and remove all the data. Still calling `model` on such a tsibble should, in my opinion,...
The separation of data between modelling and forecasting steps (or other model functions) can result in errors, or worse misalignment in contrasts. An example that causes an error is given...
Hi, I'm dealing with a time series with an extreme outlier, and I've found the function `outliers`, that I imagine uses the IQR to determine if the observation is considered...
Hello, I am experiencing an issue when calling refit on a test dataframe object. I've called this multiple times in the past and never experienced this issue and am unsure...
Add some of the functionality of `tsclean()` and `tsoutliers` from the *forecast* package. Related question: https://stackoverflow.com/q/59051260/144157