Creating time series for HTS package

[iris_vandenbrink]

Hey everyone,

I need some help with transforming my data for it to be fit to perform hierarchial forecasting methods from the hts package. I want to use the method of Hyndman and found several explanations for this. However, you need to define a time series in which the levels and groups in the hierarhcy are specified but I cannot find any explanation about this. Does anyone know how to do this or where I can find proper explanation.

[williaml]

hts is retired, with minimum maintenance to keep it on CRAN. We recommend using the fable package instead

See tsibble in the tidyverts packages, which include fable:

Tidy Temporal Data Frames and Tools

tidyverts

[iris_vandenbrink]

Thank you for your response.
I looked at the fable package and I cannot really find how to perform hierarchial forecasting with this package?

[robjhyndman]

There are multiple examples here: Chapter 11 Forecasting hierarchical and grouped time series | Forecasting: Principles and Practice (3rd ed)

[iris_vandenbrink]

Thank you very much for your answer this is really helfull. Now my only problem is that I cannot use the aggregate_key function on my dataset. I get the following error:

Error in UseMethod("aggregate_key") :
no applicable method for 'aggregate_key' applied to an object of class "c('tbl_df', 'tbl', 'data.frame')"

My dataset is similar to the one in the example.

[EconProf]

Is your data in the tsibble format?

[iris_vandenbrink]

I am trying that now but r says my data has duplicates. I am not sure if I am transforming my data right.

[EconProf]

The Forecasting: Principles and Practice book is an excellent resource. For example, Chapter 2 starts with a section on tsibbles.

[williaml]

The text being referred to: Forecasting: Principles and Practice (3rd ed)