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
