feat: enhance docstrings and support aggregate count data in binomial…#45
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jonathan-taylor merged 4 commits intomainfrom Mar 12, 2026
Merged
feat: enhance docstrings and support aggregate count data in binomial…#45jonathan-taylor merged 4 commits intomainfrom
jonathan-taylor merged 4 commits intomainfrom
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…/multinomial GLMs - Add `input_data_rationale.md` to explain expected data structures. - Improve and standardize docstrings across `FastNetMixin` and path estimators. - Refactor `_get_data` in `_utils.py` for cleaner DataFrame handling. - Add robust support for (trials, successes) input in `BinomialGLM`, `BinomialRegGLM`, and `LogNet`. - Add robust support for multi-class count inputs in `MultiClassNet`. - Add test suite covering count data processing for all binomial/multinomial GLMs.
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…/multinomial GLMs
input_data_rationale.mdto explain expected data structures.FastNetMixinand path estimators._get_datain_utils.pyfor cleaner DataFrame handling.BinomialGLM,BinomialRegGLM, andLogNet.MultiClassNet.