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bayesqm

0.1.0

Bayesian Q Methodology: Probabilistic Factor Analysis

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493downloads / year
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Overview

About
Maintained by Raymond Dacosta AzaddaFirst published 2026-06-171 releasesCRAN page ↗GitHub ↗

A Bayesian factor-analytic framework for Q methodology. Fits a low-rank factor model to Q-sort data with a Student-t likelihood and a hierarchical normal prior on loadings, samples the posterior with Stan, resolves rotational ambiguity via the MatchAlign post-processing of Poworoznek et al. (2025) doi:10.1214/25-BA1544, and returns posterior summaries including credible intervals for loadings and factor scores, probabilistic dominant-factor membership, distinguishing and consensus statements, and PSIS-LOO-based factor enumeration following Vehtari et al. (2017) doi:10.1007/s11222-016-9696-4 with the Sivula et al. (2025) doi:10.1214/25-BA1569 parsimony rule.

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13OK
Slowest check: 3.0 min · r-devel-linux-x86_64-fedora-clang
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  • OK2026-06-18
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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493
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Rank #22,734 · ~1/day · ~41/mo
bayesqm
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License GPL-3.0 · Last activity 2026-06-24

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Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (5)
statsutilstoolsparallelrstantools
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Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-06-17 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-17
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
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not tracked yet
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