BARMPy: Bayesian additive regression models Python package

Danielle Van Boxel ()
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Danielle Van Boxel: University of Arizona

Computational Statistics, 2025, vol. 40, issue 5, No 19, 2807-2824

Abstract: Abstract We make Bayesian additive regression networks (BARN) available as a Python package, barmpy, with documentation at https://dvbuntu.github.io/barmpy/ for general machine learning practitioners. Our object-oriented design is compatible with SciKit-Learn, allowing usage of their tools like cross-validation. To ease learning to use barmpy, we produce a companion tutorial that expands on reference information in the documentation. Any interested user can pip install barmpy from the official PyPi repository. barmpy also serves as a baseline Python library for generic Bayesian additive regression models.

Keywords: Machine learning; Python; MCMC; Software (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s00180-024-01535-9

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