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bayesqm  

Bayesian Q Methodology: Exact Rank-Order Likelihood for Forced Q Sorts
View on CRAN: Click here


Download and install bayesqm package within the R console
Install from CRAN:
install.packages("bayesqm")

Install from Github:
library("remotes")
install_github("cran/bayesqm")

Install by package version:
library("remotes")
install_version("bayesqm", "0.2.0")



Attach the package and use:
library("bayesqm")
Maintained by
Raymond Dacosta Azadda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-17
Latest Update: 2026-06-17
Description:
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.
How to cite:
Raymond Dacosta Azadda (2026). bayesqm: Bayesian Q Methodology: Exact Rank-Order Likelihood for Forced Q Sorts. R package version 0.2.0, https://cran.r-project.org/web/packages/bayesqm. Accessed 03 Oct. 2026.
Previous versions and publish date:
(2026-08-20 12:52), 0.1.0 (2026-06-17 19:40)
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