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v4a
- #4
#4
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tmonk
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Nov 25, 2025
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v4a
#4
tmonk
merged 7 commits into
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Commits on Nov 25, 2025
feat: add benchmark smoke test and refactor `gradient` and `compute_standard_errors` signatures to accept `flat_beta` as a keyword argument.
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refactor: modernize type hints by using built-in `tuple` and removing unused `Optional` import
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- Declared DualInput as a proper TypeAlias and added necessary cast imports.
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docs: show `fit` with optimization parameters, `compute_standard_errors` with `epsilon`, `simulate_data` with `rng` and `dtype`, and clarify `y_dual` input formats.
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• Add choices-first workflow, rich summaries, and helper APIs
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feat: enhance `parse_choices` input validation and `MultichoiceLogit` summary output tests for inference and optimizer details.
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refactor: introduce `Choice` and `ChoicesSeq` type aliases, add a plain text fallback for `ModelResult.summary` making `rich` optional, and update `fit` method type hints to `npt.ArrayLike`.
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