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.
| Version: |
0.1.0 |
| 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) |
| Published: |
2026-06-17 |
| DOI: |
10.32614/CRAN.package.bayesqm (may not be active yet) |
| Author: |
Raymond Dacosta Azadda [aut, cre],
AK-ACE Team [aut],
Karsten Hueffer [aut],
Taa'aii Peter [aut],
Stacy Rasmus [aut] |
| Maintainer: |
Raymond Dacosta Azadda <rdazadda at alaska.edu> |
| BugReports: |
https://github.com/rdazadda/bayesqm/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/rdazadda/bayesqm,
https://rdazadda.github.io/bayesqm/ |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://stan-dev.r-universe.dev |
| Language: |
en-US |
| Citation: |
bayesqm citation info |
| Materials: |
README |
| CRAN checks: |
bayesqm results |