Bayesian Q Methodology: Exact Rank-Order Likelihood for Forced Q Sorts

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Documentation for package ‘bayesqm’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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_colors	Get or set the bayesqm colour scheme
bayesqm_set_colors	Get or set the bayesqm colour scheme
caption_bayesqm	Caption text for figures from a fit
check_distribution	Construct a validated qsort_data object
check_fit	Posterior-predictive checks of the fitted model
check_persons	The person check against mixed-replication bands
claims	Selected claims at a common false-discovery level
coef.bayesqm_fit	Posterior-mean bounded loadings
compute_factor_array	Quota-respecting factor arrays
compute_flags	Flag probabilities with an explicit unclassified state
compute_loadings	Bounded participant loadings with credible intervals
compute_qdc	Distinguishing and consensus verdicts
compute_zscores	Statement scores with credible intervals
crib_sheet	Extreme-placement probabilities per statement and factor
delta_grid	Grid width on the z scale
demo_fit	A small demonstration fit
discretize_to_grid	Simulate Q-sort data
extend	Continue sampling a fitted chain
factor_characteristics	Factor characteristics
fitted.bayesqm_fit	Posterior-mean reconstruction on the utility scale
fit_bayesian	Fit the exact partition-likelihood model to forced Q sorts
fit_ladder	Fit the model over a ladder of K
flip_factor	Flip the pole of one factor
generate_data	Simulate Q-sort data
generate_loadings	Simulate Q-sort data
generate_noise	Simulate Q-sort data
get_distribution	Simulate Q-sort data
grizzly_sorts	Grizzly bear reintroduction Q sorts
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
loglik_person	Person-level partition log-likelihoods
loo_ladder	PSIS-LOO across the ladder, as directional corroboration
matchalign	MatchAlign post-processing for partition-model draws
obesity_sorts	Childhood obesity Q sorts
parse_distribution	Construct a validated qsort_data object
plot.bayesqm_fit	Bounded loadings with credible intervals
plot_choice_k	The two-signal choice-of-K display
plot_contrasts	Statement contrasts between two factors
plot_convergence	Convergence and alignment view
plot_dist_cons	Statement contrasts between two factors
plot_factor_array	The factor array on its grid
plot_flags	Flag probabilities with the unclassified state
plot_loading_posterior	Bounded loadings with credible intervals
plot_membership	Flag probabilities with the unclassified state
plot_person_check	The person check against the mixed bands
plot_ppc	Posterior-predictive check display
plot_sorts	Preview every participant's sort
plot_statement	One statement, in depth
plot_tucker	Convergence and alignment view
plot_zscores	Statement scores across factors, whole panel
plot_zscore_posterior	One statement, in depth
posterior_interval	Posterior interval generic
posterior_interval.bayesqm_fit	Credible intervals for bayesqm_fit parameters
print.qsort_data	Print, summary, and matrix conversion for qsort_data
prior_summary	Prior summary generic
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 the factors
rotate_factors	Rotate every aligned draw toward a target
save_bayesqm_plot	Save a bayesqm plot to file
select_k	Choose K by the two-signal rule
sigma.bayesqm_fit	Posterior-mean loading scales
summary.qsort_data	Print, summary, and matrix conversion for qsort_data
tucker_congruence	Tucker's congruence and orthogonal Procrustes rotation
validate_qsort	Construct a validated qsort_data object