Installation

voiage can be installed from PyPI using pip, or directly from the source code if you want the latest development version or intend to contribute.

Prerequisites

• Python 3.8 or higher.

• pip and setuptools (usually included with Python).

We recommend using a virtual environment (e.g., via venv or conda) to manage project dependencies.

Using pip (Recommended)

For the v0.1 release, voiage is available on TestPyPI. You can install it using:

pip install --index-url https://test.pypi.org/simple/ --no-deps voiage

Once voiage is officially released on PyPI, you will be able to install it with:

pip install voiage

To install with optional dependencies that might be needed for specific features (e.g., advanced Bayesian modeling, specific EVSI methods, or plotting), you might use:

pip install voiage[all]  # Example, actual extras will be defined

Or for specific extras (e.g., numpyro for NumPyro integration, plot for plotting): .. code-block:: bash

pip install “voiage[numpyro,plot]”

A full development installation can be done by cloning the repository and installing the dev dependencies: .. code-block:: bash

git clone https://github.com/your-username/voiage.git cd voiage pip install -e “.[dev]”

Dependencies

voiage relies on the following core libraries: * NumPy, SciPy, Pandas, and xarray for data structures and numerical computing. * NumPyro for Bayesian modeling. * scikit-learn and statsmodels for statistical modeling and machine learning. * Typer for the command-line interface.