Bayesian Q Methodology: Probabilistic Factor Analysis R package bayesqm version 0.1.0 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. Software Depends: R (>= 4.1.0) Imports: stats, utils, tools, parallel, rstantools (>= 2.3.0) Suggests: cmdstanr (>= 0.8.0), rstan (>= 2.32.0), loo (>= 2.7.0), GPArotation (>= 2024.3-1), lpSolve, readxl (>= 1.4.0), jsonlite (>= 1.8.0), posterior (>= 1.5.0), ggplot2 (>= 3.4.0), ggdist (>= 3.3.0), ggridges (>= 0.5.0), scales (>= 1.2.0), knitr (>= 1.40), rmarkdown (>= 2.20), testthat (>= 3.0.0), vdiffr (>= 1.0.0) Raymond Dacosta Azadda <rdazadda@alaska.edu> Comprehensive R Archive Network (CRAN) Raymond Dacosta Azadda [aut, cre], AK-ACE Team [aut], Karsten Hueffer [aut], Taa'aii Peter [aut], Stacy Rasmus [aut] GPL (>= 3) 2026-06-17 application/tgz https://CRAN.R-project.org/package=bayesqm doi:10.32614/CRAN.package.bayesqm en-US