bayesqm: Bayesian Q Methodology: Exact Rank-Order Likelihood for Forced Q Sorts
A Bayesian analysis for Q methodology, alongside the classical one. Models the forced Q sort as an ordered partition of the statements through an exact rank-order likelihood (the design quotas fix the partition margins, so the likelihood of the observed sorting event is exact), fits it by a parameter-expanded Gibbs sampler in R with no compiled code and a convergence gate on rotation-invariant functionals, resolves rotational ambiguity via the MatchAlign post-processing of Poworoznek et al. (2025) <doi:10.1214/25-BA1544>, and returns the familiar Q tables as posterior summaries: credible intervals for bounded participant loadings, flag probabilities with an explicit unclassified state, quota-respecting factor arrays, distinguishing and consensus statements judged against a posterior critical difference and a grid-width equivalence region, one posterior false-discovery rule for all published claims, and a two-signal posterior-predictive workflow for the number of factors.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, utils, tools, clue, posterior (≥ 1.5.0) |
| Suggests: | loo (≥ 2.7.0), readxl (≥ 1.4.0), jsonlite (≥ 1.8.0), ggplot2 (≥ 3.4.0), knitr (≥ 1.40), rmarkdown (≥ 2.20), testthat (≥ 3.0.0) |
| Published: | 2026-08-20 |
| DOI: | 10.32614/CRAN.package.bayesqm |
| Author: | Raymond Dacosta Azadda
 [aut, cre],
Henry Ofoe Agbi-Kaiser
[aut],
Hannah D. Robinson
[aut],
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 |
| Language: | en-US |
| Citation: | bayesqm citation info |
| Materials: | README, NEWS |
| CRAN checks: | bayesqm results |
Documentation:
| Reference manual: | bayesqm.html , bayesqm.pdf |
| Vignettes: |
Getting started with bayesqm (source, R code) Output codebook (source, R code) |
Downloads:
| Package source: | bayesqm_0.2.0.tar.gz |
| Windows binaries: | r-devel: bayesqm_0.2.0.zip, r-release: bayesqm_0.2.0.zip, r-oldrel: bayesqm_0.2.0.zip |
| macOS binaries: | r-release (arm64): bayesqm_0.2.0.tgz, r-oldrel (arm64): bayesqm_0.2.0.tgz, r-release (x86_64): bayesqm_0.2.0.tgz, r-oldrel (x86_64): bayesqm_0.2.0.tgz |
| Old sources: | bayesqm archive |
Linking:
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