new parameters for step_lencode_glm
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- Dominant language
- R
- Stars
- 146
- Forks
- 23
- PR merge metrics
- No merged PRs in 30d
Description
In some situations, when you are modeling counts or GLM it is important to set an offset to the model. It would be interesting if step_lencode_glm allowed the user to specify the type of model needed (count, classification, etc.). In addition to allowing some offset to the model for the adjustment and estimation of the union of the different levels of the variable of interest.
Thanks
Contributor guide
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 by locating the step_lencode_glm entry point and reading how it currently selects and fits GLM models. Clarify the supported model types, offset behavior, and how offsets affect adjustment and estimation before identifying the relevant tests. Done means the requested model selection and offset semantics are specified and covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100