setqca-python/CITATION.cff at main · DiogoRibeiro7/setqca-python · GitHub

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cff-version: 1.2.0
message: "If you use setqca in your research, please cite the archived release."
title: "setqca: Native Python Crisp-Set and Fuzzy-Set Qualitative Comparative Analysis"
version: "0.2.0"
date-released: 2026-08-11
type: software
# The concept DOI always resolves to the latest archived release, so it
# stays correct between versions; per-version DOIs are listed below.
doi: 10.5281/zenodo.21879359
identifiers:
  - type: doi
    value: 10.5281/zenodo.21879359
    description: Concept DOI resolving to the latest archived version
  - type: doi
    value: 10.5281/zenodo.21887472
    description: Version DOI for release 0.2.0
  - type: doi
    value: 10.5281/zenodo.21879360
    description: Version DOI for release 0.1.0
authors:
  - family-names: Ribeiro
    given-names: Diogo
    affiliation: ESMAD - Instituto Politécnico do Porto
    email: dfr@esmad.ipp.pt
    orcid: https://orcid.org/0009-0001-2022-7072
license: MIT
repository-code: https://github.com/DiogoRibeiro7/setqca-python
url: https://github.com/DiogoRibeiro7/setqca-python
abstract: |
  setqca is an open-source Python library implementing the mathematical core of
  Qualitative Comparative Analysis (QCA) natively, without wrapping the R QCA
  package. It provides three-anchor direct fuzzy calibration in logistic and
  piecewise forms, crisp calibration, a typed fuzzy-set algebra over calibrated
  conditions, set-theoretic parameters of fit for sufficiency and necessity
  including PRI and RoN, complete binary truth tables with frequency,
  consistency and PRI cutoffs, and exact classical Quine-McCluskey Boolean
  minimisation with branch-and-bound solution of the prime-implicant chart.
  Conservative and parsimonious csQCA and fsQCA solutions are returned as typed
  result objects with pandas exports. The implementation prioritises auditable
  exactness over heuristic speed: minimisation is exact rather than approximate,
  every threshold is explicit, and features that have not yet reached parity
  with the reference R implementation are marked experimental rather than
  silently approximated. The package is fully type annotated, ships a py.typed
  marker, and is validated by unit, property-based and brute-force exactness
  tests.
keywords:
  - qualitative comparative analysis
  - QCA
  - fsQCA
  - csQCA
  - set-theoretic methods
  - fuzzy sets
  - Boolean minimisation
  - Quine-McCluskey
  - configurational comparative methods
  - social science methodology