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bayesqm

Bayesian Q Methodology: Probabilistic Factor Analysis

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.

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VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 bayesqm_0.1.0.tar.gz 485.3 KiB
0.1.0 rolling linux/noble R-4.5 bayesqm_0.1.0.tar.gz 485.0 KiB
0.1.0 rolling source/ R- bayesqm_0.1.0.tar.gz 242.0 KiB
0.1.0 latest linux/jammy R-4.5 bayesqm_0.1.0.tar.gz 485.3 KiB
0.1.0 latest linux/noble R-4.5 bayesqm_0.1.0.tar.gz 485.0 KiB
0.1.0 latest source/ R- bayesqm_0.1.0.tar.gz 242.0 KiB
0.1.0 2026-04-23 source/ R- bayesqm_0.1.0.tar.gz 0 B

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