Package index • guess

All functions
`assess_item_lca_fit()`	Assess goodness of fit for an item-level latent-class model
`calculate_expected_values()`	Calculate expected values for goodness of fit test
`coef(<guess_fit>)`	Extract coefficients from guess_fit
`count_item_transitions()`	Count transitions for matched test items
`count_transitions()`	Count cross-wave response transitions
`cross_sectional_learning()`	Cross-sectional learning estimate
`cross_sectional_learning_score()`	Cross-Sectional Learning Score
`cv_individual_lca()`	Cross-validate an item LCA fit over individuals
`estimate_logit_score()`	Estimate a Cross-Sectional Logit Score
`fit_item_lca()`	Fit item-wise latent-class models to paired responses
`fit_item_lca_counts()`	Fit item-wise latent-class models to transition counts
`fit_person_lca()`	Fit a joint person-level latent-class model
`format_transition_matrix()`	Format transition matrix result with appropriate row and column names
`group_adj()`	Group Level Adjustment That Accounts for Propensity to Guess
`lca_adj()`	Person Level Adjustment
`lca_se()`	Bootstrapped standard errors of effect size estimates
`nona()`	Normalize NA Responses
`posterior_class_probs()`	Compute posterior class probabilities
`posterior_learned()`	Compute posterior probability of learning
`print(<guess_cv>)`	Print method for guess_cv
`print(<guess_fit>)`	Print method for guess_fit
`print(<guess_gof>)`	Print method for item-level goodness-of-fit diagnostics
`score_individual_lca()`	Score an item LCA fit on individual responses
`score_item_lca()`	Score an item-level latent-class fit against transition counts
`simulate_lca()`	Simulation Functions for LCA Models
`simulate_lca_dk()`	Simulate Pre-Post Test Data (DK Model)
`stnd_cor()`	Standard Guessing Correction for Learning
`summary(<guess_cv>)`	Summary method for guess_cv
`summary(<guess_fit>)`	Summary method for guess_fit
`validate_compatible_dataframes()`	Validate that two data frames have compatible dimensions
`validate_gamma()`	Validate gamma parameter
`validate_guessing_probability()`	Validate guessing probabilities for standard correction
`validate_priors()`	Validate prior parameters
`validate_recovery()`	Validate Parameter Recovery via Monte Carlo Simulation
`validate_transition_values()`	Validate transition matrix values

Reference

All functions