| as.array.bayesqm_fit | Standard R accessors for bayesqm_fit |
| as.data.frame.bayesqm_fit | Standard R accessors for bayesqm_fit |
| as.matrix.bayesqm_fit | Standard R accessors for bayesqm_fit |
| as.matrix.qsort_data | Print, summary, and matrix conversion for qsort_data |
| assess_classification | Simulation-study assessment helpers |
| assess_recovery | Simulation-study assessment helpers |
| bayesqm-colors | Get or set the bayesqm colour scheme |
| bayesqm-fit-accessors | Standard R accessors for bayesqm_fit |
| bayesqm-fit-methods | Print and summary methods for bayesqm_fit and bayesqm_run |
| bayesqm-membership | Probabilistic factor-membership and divergence summaries |
| bayesqm_colors | Get or set the bayesqm colour scheme |
| bayesqm_set_colors | Get or set the bayesqm colour scheme |
| caption_bayesqm | Dynamic figure caption for a bayesqm_fit |
| check_distribution | Construct a validated qsort_data object |
| classify_membership | Probabilistic factor-membership and divergence summaries |
| coef.bayesqm_fit | Standard R accessors for bayesqm_fit |
| compute_divergence | Probabilistic factor-membership and divergence summaries |
| compute_dominant_prob | Probabilistic factor-membership and divergence summaries |
| compute_dominant_sign | Probabilistic factor-membership and divergence summaries |
| compute_factor_array | Factor arrays on the forced Q-sort distribution |
| compute_loadings | Posterior summary of participant factor loadings |
| compute_posterior_scalars | Posterior summary of scalar hyperparameters |
| compute_threshold_prob | Probabilistic factor-membership and divergence summaries |
| compute_zscores | Posterior summary of statement factor z-scores |
| critical_delta | Reliability-adjusted critical difference (default 'delta') |
| demo_fit | A synthetic bayesqm_fit for examples and tutorials |
| demo_run | A synthetic bayesqm_run for examples and tutorials |
| discretize_to_grid | Simulate Q-sort data |
| family.bayesqm_fit | Standard R accessors for bayesqm_fit |
| fitted.bayesqm_fit | Standard R accessors for bayesqm_fit |
| fit_bayesian | Fit a Bayesian Q-methodology factor model |
| generate_data | Simulate Q-sort data |
| generate_loadings | Simulate Q-sort data |
| generate_noise | Simulate Q-sort data |
| get_distribution | Simulate Q-sort data |
| import-aliases | qmethod-style import aliases |
| import.easyhtmlq | qmethod-style import aliases |
| import.htmlq | qmethod-style import aliases |
| import.kenq | qmethod-style import aliases |
| import.pqmethod | qmethod-style import aliases |
| infer_distribution | Construct a validated qsort_data object |
| make_dominant_panel | Probabilistic dominant-factor panel |
| make_elpd_diff | Delta-ELPD plot with Sivula band, peak, and adopted-K annotations |
| make_ppc_ridge | Posterior predictive RMSE ridgeline across K |
| matchalign | MatchAlign post-processing for Bayesian factor draws |
| nobs.bayesqm_fit | Standard R accessors for bayesqm_fit |
| parse_distribution | Construct a validated qsort_data object |
| plot.bayesqm_fit | Factor-score dotchart for a bayesqm_fit |
| plot_dist_cons | Distinguishing/consensus divergence forest |
| plot_elpd | ELPD across K with peak and Sivula annotations |
| plot_hyper | Hyperparameter posterior densities |
| plot_loading_posterior | Loading forest with 50 and 95 percent credible intervals |
| plot_membership | Dominant-factor posterior-probability heatmap |
| plot_ppc | Posterior predictive check on the correlation-matrix RMSE |
| plot_tucker | MatchAlign Tucker's phi distribution by factor |
| plot_zscore_posterior | Per-statement factor-score posterior across factors |
| posterior_interval.bayesqm_fit | Credible intervals for bayesqm_fit parameters |
| print.bayesqm_family | Standard R accessors for bayesqm_fit |
| print.bayesqm_fit | Print and summary methods for bayesqm_fit and bayesqm_run |
| print.bayesqm_prior | Prior summary for a bayesqm_fit |
| print.bayesqm_run | Print and summary methods for bayesqm_fit and bayesqm_run |
| print.qsort_data | Print, summary, and matrix conversion for qsort_data |
| prior_summary.bayesqm_fit | Prior summary for a bayesqm_fit |
| procrustes_rotation | Tucker's congruence and orthogonal Procrustes rotation |
| qsort_data | Construct a validated qsort_data object |
| qsort_data-methods | Print, summary, and matrix conversion for qsort_data |
| read_easyhtml_firebase | Read Q-sort data from file |
| read_kade_zip | Read Q-sort data from file |
| read_kenq | Read Q-sort data from file |
| read_kenq_excel | Read Q-sort data from file |
| read_pqmethod | Read Q-sort data from file |
| read_qsort | Read Q-sort data from file |
| read_qsort_csv | Read Q-sort data from file |
| read_qsort_excel | Read Q-sort data from file |
| read_statements | Read Q-sort data from file |
| rename_factors | Rename factors consistently across a bayesqm_fit |
| residuals.bayesqm_fit | Standard R accessors for bayesqm_fit |
| run_bayes | Fit the model across a range of K |
| save_bayesqm_plot | Save a bayesqm plot to file |
| select_k_peak | Fit the model across a range of K |
| select_k_sivula | Fit the model across a range of K |
| sigma.bayesqm_fit | Standard R accessors for bayesqm_fit |
| suggest_delta | Suggested separation 'delta' from the forced distribution |
| summary.bayesqm_fit | Print and summary methods for bayesqm_fit and bayesqm_run |
| summary.bayesqm_run | Print and summary methods for bayesqm_fit and bayesqm_run |
| summary.qsort_data | Print, summary, and matrix conversion for qsort_data |
| tucker_congruence | Tucker's congruence and orthogonal Procrustes rotation |
| update.bayesqm_fit | Standard R accessors for bayesqm_fit |
| validate_qsort | Construct a validated qsort_data object |