log density and gradient without fit object
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- Dominant language
- R
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Description
There should be a way to take a Stan program (path to file or string) and a data specification (list of values or names of variables from environment or just an environemnt) and produce an object with which to evaluate log densities and gradients and Hessians without having to create an empty fit object.
Then, whatever this (model + data) object is, it can be a component of the fit object.
Is this already in the works for RStan 3?
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Research direction
The issue names no files, tests, or entry points. Start by reviewing the existing fit-object API and any RStan 3 design documentation, then determine the intended model-plus-data interface and how completion would be tested.
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Assessment
- Tech stack
- r
- Domain
- api
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100