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Add check_residuals() function

12

Essentially a wrapper to ```r augment(model) %>% features(.resid, ljung_box, lag=, dof=) ```

robjhyndman

https://stackoverflow.com/questions/68747706/error-cant-subset-columns-that-dont-exist-selecting-from-a-fable-in-r/68751090?noredirect=1#comment121524319_68751090

mitchelloharawild

Add function to create combination model, given a mable

2

Having a function automatically create a simple average combination model would be very convenient. Here's a simple way it could work - ``` library(tsibble) library(fable) addCombn

raneameya

Lagged predictor forecasting and Scenario-based forecasting

1

Hi, I've run into some issues and wanted to clarify two points. - First, when using a dynamic regression model to create forecasts for the next 3 periods, are future...

Roy-Forethought

Order matters when combining more than two individual models

1

When combining more than two individual models, changing the **order** of individual models in the `combination_model()` function will produce **different** combination results (variance). I give an example below for forecast...

xqnwang

Parallel forecasting

11

I had to do a bit more work to get `new_data` to be included in the `future_mapply` and `apply` calls properly. I've tested on a couple of models with multiples...

davidtedfordholt

In the `combination_ensemble()` function, the inverse variances weights are calculated using **innovation** residuals (residuals on the transformed scale) obtained from individual models rather than **response** residuals. I think that's a...

xqnwang

Extend interface to support multi-keyed models

8

Currently each model created in `estimate()` contains no key variables, which limits the ability to use global models. Adding the key dimension to modelling requires substantial work in generalising methods...

mitchelloharawild

Currently the order of plotting intervals is not customisable. Instead it should respect the factor order if available.

mitchelloharawild

mitchelloharawild