# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bayesqm" in publications use:' type: software license: GPL-3.0-or-later title: 'bayesqm: Bayesian Q Methodology: Probabilistic Factor Analysis' version: 0.1.0 abstract: 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) , 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) with the Sivula et al. (2025) parsimony rule. authors: - family-names: Azadda given-names: Raymond Dacosta email: rdazadda@alaska.edu - name: AK-ACE Team - family-names: Hueffer given-names: Karsten - family-names: Peter given-names: Taa'aii - family-names: Rasmus given-names: Stacy preferred-citation: type: manual title: 'bayesqm: Bayesian Q-Methodology Factor Analysis' authors: - family-names: Azadda given-names: Raymond Dacosta email: rdazadda@alaska.edu - name: AK-ACE Team - family-names: Hueffer given-names: Karsten - family-names: Peter given-names: Taa'aii - family-names: Rasmus given-names: Stacy year: '2026' notes: R package version 0.1.0 url: https://github.com/rdazadda/bayesqm repository: https://rdazadda.r-universe.dev repository-code: https://github.com/rdazadda/bayesqm commit: 234c82c66606de5ca05b67d3cee3c825902cbc9b url: https://rdazadda.github.io/bayesqm/ date-released: '2026-05-18' contact: - family-names: Azadda given-names: Raymond Dacosta email: rdazadda@alaska.edu