/tutorials/index.html Learning-oriented guides for getting marketbayesmeta installed and running a first example workflow. Pages Installation Quick Start Hugo en-gb /tutorials/installation/index.html Mon, 01 Jan 0001 00:00:00 +0000 /tutorials/installation/index.html Use Python 3.11 or newer. Install from a source checkout git clone https://github.com/tandpds/marketbayesmeta.git cd marketbayesmeta python -m venv .venv source .venv/bin/activate python -m pip install -e ".[dev]" Confirm that model dependencies import from the repository virtual environment: which python python - <<'PY' import pymc import numpy print("pymc", pymc.__version__) print("numpy", numpy.__version__) PY If PyMC fails to import, recreate .venv before running model fits. Tracker and config validation are still useful without sampling, but analysis runs require a working PyMC/ArviZ stack. /tutorials/quick-start/index.html Mon, 01 Jan 0001 00:00:00 +0000 /tutorials/quick-start/index.html The quickest way to see the package workflow is to run the synthetic example config. source .venv/bin/activate python runme.py examples/config.yaml The example config points to examples/example_tracker.csv and writes outputs to: output/example_geo_sales_uplift/ The example is intentionally small. It should complete and write the full artefact set, but it is not expected to be reportable because readiness is directional. Check the config marketbayesmeta-check-config examples/config.yaml Run the config marketbayesmeta-run examples/config.yaml Review the result Start with: