Implement MS-TCM model with FRFR-category worked example and MLE/CI f… #1

	name: CI

	on:
	push:
	branches: [ main, "001-*" ]
	pull_request:
	branches: [ main ]

	jobs:
	test:
	name: ${{ matrix.os }} / Python ${{ matrix.python-version }}
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest, macos-latest, windows-latest]
	python-version: ["3.11"]
	steps:
	- uses: actions/checkout@v4
	with:
	submodules: recursive
	- name: Set up Python
	uses: actions/setup-python@v5
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install
	run: \|
	python -m pip install --upgrade pip
	python -m pip install -e ".[dev]"
	- name: Unit tests
	run: pytest code/tests -q
	- name: Validate bundled dataset
	run: ms-tcm validate data/raw/frfr_category
	- name: Smoke fit (MS-TCM)
	run: ms-tcm fit data/raw/frfr_category --out runs/ci/mstcm --seed 42 --n-bootstraps 5 --n-restarts 2 --force
	- name: Smoke fit (standard TCM)
	run: ms-tcm fit data/raw/frfr_category --out runs/ci/tcm --seed 42 --standard-tcm --n-bootstraps 5 --n-restarts 2 --force
	- name: Print MLEs
	run: python -c "import json; s=json.load(open('runs/ci/mstcm/fit_summary.json')); [print(n, ':', info['mle']) for n, info in s['parameters'].items()]"

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