{
  "_id": "6ac6ff59de46216d5edcdcf1",
  "Package": "bayesqm",
  "Type": "Package",
  "Title": "Bayesian Q Methodology: Exact Rank-Order Likelihood for Forced Q\nSorts",
  "Version": "0.2.0",
  "Date": "2026-08-19",
  "Authors@R": "c(\nperson(given = \"Raymond Dacosta\", family = \"Azadda\",\nemail = \"rdazadda@alaska.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0002-4384-4556\")),\nperson(\"Henry Ofoe\", \"Agbi-Kaiser\", role = \"aut\",\ncomment = c(ORCID = \"0009-0008-6127-9136\")),\nperson(\"Hannah D.\", \"Robinson\", role = \"aut\",\ncomment = c(ORCID = \"0009-0000-5159-1363\")),\nperson(\"KyungSook\", \"Lee\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-2351-7355\")),\nperson(family = \"AK-ACE Team\", role = \"aut\"),\nperson(\"Karsten\", \"Hueffer\", role = \"aut\"),\nperson(\"Taa'aii\", \"Peter\", role = \"aut\"),\nperson(\"Stacy\", \"Rasmus\", role = \"aut\"))",
  "Description": "A Bayesian analysis for Q methodology, alongside the\nclassical one. Models the forced Q sort as an ordered partition\nof the statements through an exact rank-order likelihood (the\ndesign quotas fix the partition margins, so the likelihood of\nthe observed sorting event is exact), fits it by a\nparameter-expanded Gibbs sampler in R with no compiled code and\na convergence gate on rotation-invariant functionals, resolves\nrotational ambiguity via the MatchAlign post-processing of\nPoworoznek et al. (2025) <doi:10.1214/25-BA1544>, and returns\nthe familiar Q tables as posterior summaries: credible\nintervals for bounded participant loadings, flag probabilities\nwith an explicit unclassified state, quota-respecting factor\narrays, distinguishing and consensus statements judged against\na posterior critical difference and a grid-width equivalence\nregion, one posterior false-discovery rule for all published\nclaims, and a two-signal posterior-predictive workflow for the\nnumber of factors.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/rdazadda/bayesqm,\nhttps://rdazadda.github.io/bayesqm/",
  "BugReports": "https://github.com/rdazadda/bayesqm/issues",
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  "Repository": "https://rdazadda.r-universe.dev",
  "Date/Publication": "2026-10-07 22:35:46 UTC",
  "RemoteUrl": "https://github.com/rdazadda/bayesqm",
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  "Packaged": {
    "Date": "2026-10-08 02:21:41 UTC",
    "User": "root"
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  "Author": "Raymond Dacosta Azadda [aut, cre] (ORCID:\n<https://orcid.org/0009-0002-4384-4556>),\nHenry Ofoe Agbi-Kaiser [aut] (ORCID:\n<https://orcid.org/0009-0008-6127-9136>),\nHannah D. Robinson [aut] (ORCID:\n<https://orcid.org/0009-0000-5159-1363>),\nKyungSook Lee [aut] (ORCID: <https://orcid.org/0000-0003-2351-7355>),\nAK-ACE Team [aut],\nKarsten Hueffer [aut],\nTaa'aii Peter [aut],\nStacy Rasmus [aut]",
  "Maintainer": "Raymond Dacosta Azadda <rdazadda@alaska.edu>",
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  "_expires": "2027-01-16T02:26:27.000Z",
  "_created": "2026-10-08T02:21:41.000Z",
  "_published": "2026-10-08T02:26:33.608Z",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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  "_exports": [
    "assess_classification",
    "assess_recovery",
    "bayesqm_colors",
    "bayesqm_set_colors",
    "caption_bayesqm",
    "check_distribution",
    "check_fit",
    "check_persons",
    "claims",
    "classify_membership",
    "compute_divergence",
    "compute_dominant_prob",
    "compute_dominant_sign",
    "compute_factor_array",
    "compute_flags",
    "compute_loadings",
    "compute_posterior_scalars",
    "compute_qdc",
    "compute_threshold_prob",
    "compute_zscores",
    "crib_sheet",
    "critical_delta",
    "delta_grid",
    "demo_fit",
    "demo_run",
    "discretize_to_grid",
    "extend",
    "factor_characteristics",
    "fit_bayesian",
    "fit_ladder",
    "flip_factor",
    "generate_data",
    "generate_loadings",
    "generate_noise",
    "get_distribution",
    "import.easyhtmlq",
    "import.htmlq",
    "import.kenq",
    "import.pqmethod",
    "infer_distribution",
    "loglik_person",
    "loo_ladder",
    "make_dominant_panel",
    "make_elpd_diff",
    "make_ppc_ridge",
    "matchalign",
    "parse_distribution",
    "plot_choice_k",
    "plot_contrasts",
    "plot_convergence",
    "plot_dist_cons",
    "plot_elpd",
    "plot_factor_array",
    "plot_flags",
    "plot_hyper",
    "plot_loading_posterior",
    "plot_membership",
    "plot_person_check",
    "plot_ppc",
    "plot_sorts",
    "plot_statement",
    "plot_tucker",
    "plot_zscore_posterior",
    "plot_zscores",
    "posterior_interval",
    "prior_summary",
    "procrustes_rotation",
    "qsort_data",
    "read_easyhtml_firebase",
    "read_kade_zip",
    "read_kenq",
    "read_kenq_excel",
    "read_pqmethod",
    "read_qsort",
    "read_qsort_csv",
    "read_qsort_excel",
    "read_statements",
    "rename_factors",
    "rotate_factors",
    "run_bayes",
    "save_bayesqm_plot",
    "select_k",
    "select_k_peak",
    "select_k_sivula",
    "suggest_delta",
    "tucker_congruence",
    "validate_qsort"
  ],
  "_datasets": [
    {
      "name": "grizzly_sorts",
      "title": "Grizzly bear reintroduction Q sorts",
      "object": "grizzly_sorts",
      "class": [
        "qsort_data"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "obesity_sorts",
      "title": "Childhood obesity Q sorts",
      "object": "obesity_sorts",
      "class": [
        "qsort_data"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "assess_recovery",
      "title": "Simulation-study assessment helpers",
      "topics": [
        "assess_classification",
        "assess_recovery"
      ]
    },
    {
      "page": "bayesqm-colors",
      "title": "Get or set the bayesqm colour scheme",
      "topics": [
        "bayesqm-colors",
        "bayesqm_colors",
        "bayesqm_set_colors"
      ]
    },
    {
      "page": "caption_bayesqm",
      "title": "Caption text for figures from a fit",
      "topics": [
        "caption_bayesqm"
      ]
    },
    {
      "page": "check_fit",
      "title": "Posterior-predictive checks of the fitted model",
      "topics": [
        "check_fit"
      ]
    },
    {
      "page": "check_persons",
      "title": "The person check against mixed-replication bands",
      "topics": [
        "check_persons"
      ]
    },
    {
      "page": "claims",
      "title": "Selected claims at a common false-discovery level",
      "topics": [
        "claims"
      ]
    },
    {
      "page": "coef.bayesqm_fit",
      "title": "Posterior-mean bounded loadings",
      "topics": [
        "coef.bayesqm_fit"
      ]
    },
    {
      "page": "compute_factor_array",
      "title": "Quota-respecting factor arrays",
      "topics": [
        "compute_factor_array"
      ]
    },
    {
      "page": "compute_flags",
      "title": "Flag probabilities with an explicit unclassified state",
      "topics": [
        "compute_flags"
      ]
    },
    {
      "page": "compute_loadings",
      "title": "Bounded participant loadings with credible intervals",
      "topics": [
        "compute_loadings"
      ]
    },
    {
      "page": "compute_qdc",
      "title": "Distinguishing and consensus verdicts",
      "topics": [
        "compute_qdc"
      ]
    },
    {
      "page": "compute_zscores",
      "title": "Statement scores with credible intervals",
      "topics": [
        "compute_zscores"
      ]
    },
    {
      "page": "crib_sheet",
      "title": "Extreme-placement probabilities per statement and factor",
      "topics": [
        "crib_sheet"
      ]
    },
    {
      "page": "delta_grid",
      "title": "Grid width on the z scale",
      "topics": [
        "delta_grid"
      ]
    },
    {
      "page": "demo_fit",
      "title": "A small demonstration fit",
      "topics": [
        "demo_fit"
      ]
    },
    {
      "page": "extend",
      "title": "Continue sampling a fitted chain",
      "topics": [
        "extend"
      ]
    },
    {
      "page": "factor_characteristics",
      "title": "Factor characteristics",
      "topics": [
        "factor_characteristics"
      ]
    },
    {
      "page": "fit_bayesian",
      "title": "Fit the exact partition-likelihood model to forced Q sorts",
      "topics": [
        "fit_bayesian"
      ]
    },
    {
      "page": "fit_ladder",
      "title": "Fit the model over a ladder of K",
      "topics": [
        "fit_ladder"
      ]
    },
    {
      "page": "fitted.bayesqm_fit",
      "title": "Posterior-mean reconstruction on the utility scale",
      "topics": [
        "fitted.bayesqm_fit"
      ]
    },
    {
      "page": "flip_factor",
      "title": "Flip the pole of one factor",
      "topics": [
        "flip_factor"
      ]
    },
    {
      "page": "generate_data",
      "title": "Simulate Q-sort data",
      "topics": [
        "discretize_to_grid",
        "generate_data",
        "generate_loadings",
        "generate_noise",
        "get_distribution"
      ]
    },
    {
      "page": "grizzly_sorts",
      "title": "Grizzly bear reintroduction Q sorts",
      "topics": [
        "grizzly_sorts"
      ]
    },
    {
      "page": "import-aliases",
      "title": "qmethod-style import aliases",
      "topics": [
        "import-aliases",
        "import.easyhtmlq",
        "import.htmlq",
        "import.kenq",
        "import.pqmethod"
      ]
    },
    {
      "page": "loglik_person",
      "title": "Person-level partition log-likelihoods",
      "topics": [
        "loglik_person"
      ]
    },
    {
      "page": "loo_ladder",
      "title": "PSIS-LOO across the ladder, as directional corroboration",
      "topics": [
        "loo_ladder"
      ]
    },
    {
      "page": "matchalign",
      "title": "MatchAlign post-processing for partition-model draws",
      "topics": [
        "matchalign"
      ]
    },
    {
      "page": "obesity_sorts",
      "title": "Childhood obesity Q sorts",
      "topics": [
        "obesity_sorts"
      ]
    },
    {
      "page": "plot_choice_k",
      "title": "The two-signal choice-of-K display",
      "topics": [
        "plot_choice_k"
      ]
    },
    {
      "page": "plot_contrasts",
      "title": "Statement contrasts between two factors",
      "topics": [
        "plot_contrasts",
        "plot_dist_cons"
      ]
    },
    {
      "page": "plot_factor_array",
      "title": "The factor array on its grid",
      "topics": [
        "plot_factor_array"
      ]
    },
    {
      "page": "plot_loading_posterior",
      "title": "Bounded loadings with credible intervals",
      "topics": [
        "plot.bayesqm_fit",
        "plot_loading_posterior"
      ]
    },
    {
      "page": "plot_flags",
      "title": "Flag probabilities with the unclassified state",
      "topics": [
        "plot_flags",
        "plot_membership"
      ]
    },
    {
      "page": "plot_person_check",
      "title": "The person check against the mixed bands",
      "topics": [
        "plot_person_check"
      ]
    },
    {
      "page": "plot_ppc",
      "title": "Posterior-predictive check display",
      "topics": [
        "plot_ppc"
      ]
    },
    {
      "page": "plot_sorts",
      "title": "Preview every participant's sort",
      "topics": [
        "plot_sorts"
      ]
    },
    {
      "page": "plot_statement",
      "title": "One statement, in depth",
      "topics": [
        "plot_statement",
        "plot_zscore_posterior"
      ]
    },
    {
      "page": "plot_convergence",
      "title": "Convergence and alignment view",
      "topics": [
        "plot_convergence",
        "plot_tucker"
      ]
    },
    {
      "page": "plot_zscores",
      "title": "Statement scores across factors, whole panel",
      "topics": [
        "plot_zscores"
      ]
    },
    {
      "page": "posterior_interval",
      "title": "Posterior interval generic",
      "topics": [
        "posterior_interval"
      ]
    },
    {
      "page": "posterior_interval.bayesqm_fit",
      "title": "Credible intervals for bayesqm_fit parameters",
      "topics": [
        "posterior_interval.bayesqm_fit"
      ]
    },
    {
      "page": "prior_summary",
      "title": "Prior summary generic",
      "topics": [
        "prior_summary"
      ]
    },
    {
      "page": "prior_summary.bayesqm_fit",
      "title": "Prior summary for a bayesqm_fit",
      "topics": [
        "prior_summary.bayesqm_fit"
      ]
    },
    {
      "page": "qsort_data",
      "title": "Construct a validated qsort_data object",
      "topics": [
        "check_distribution",
        "infer_distribution",
        "parse_distribution",
        "qsort_data",
        "validate_qsort"
      ]
    },
    {
      "page": "qsort_data-methods",
      "title": "Print, summary, and matrix conversion for qsort_data",
      "topics": [
        "as.matrix.qsort_data",
        "print.qsort_data",
        "qsort_data-methods",
        "summary.qsort_data"
      ]
    },
    {
      "page": "read_qsort",
      "title": "Read Q-sort data from file",
      "topics": [
        "read_easyhtml_firebase",
        "read_kade_zip",
        "read_kenq",
        "read_kenq_excel",
        "read_pqmethod",
        "read_qsort",
        "read_qsort_csv",
        "read_qsort_excel",
        "read_statements"
      ]
    },
    {
      "page": "rename_factors",
      "title": "Rename the factors",
      "topics": [
        "rename_factors"
      ]
    },
    {
      "page": "rotate_factors",
      "title": "Rotate every aligned draw toward a target",
      "topics": [
        "rotate_factors"
      ]
    },
    {
      "page": "save_bayesqm_plot",
      "title": "Save a bayesqm plot to file",
      "topics": [
        "save_bayesqm_plot"
      ]
    },
    {
      "page": "select_k",
      "title": "Choose K by the two-signal rule",
      "topics": [
        "select_k"
      ]
    },
    {
      "page": "sigma.bayesqm_fit",
      "title": "Posterior-mean loading scales",
      "topics": [
        "sigma.bayesqm_fit"
      ]
    },
    {
      "page": "tucker_congruence",
      "title": "Tucker's congruence and orthogonal Procrustes rotation",
      "topics": [
        "procrustes_rotation",
        "tucker_congruence"
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