tidyverts / tidyverts/fabletools
Allow multivariate expression for univariate models
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- Dominant language
- R
- Stars
- 98
- Forks
- 37
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Description
Using a multivariate response with univariate models could estimate each response variable independently using the same model structure.
https://stackoverflow.com/questions/67051079/r-forecasting-fable-package-multivariate-decompostion-model
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the linked Stack Overflow question to clarify how a multivariate response should be handled by univariate models. Identify the relevant fabletools entry points and expected test coverage; done means each response variable can be estimated independently using the same model structure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100