calculate_expected_values
                        Calculate expected values for goodness of fit
                        test
coef.guess_fit          Extract coefficients from guess_fit
cross_sectional_learning
                        Cross-sectional learning estimate
cross_sectional_learning_score
                        Cross-Sectional Learning Score
cv_individuals          K-fold cross-validation over individuals
cv_items                K-fold cross-validation over items
estimate_logit_score    Estimate a Cross-Sectional Logit Score
fit_model               Goodness of fit statistics for transition
                        matrix data
format_transition_matrix
                        Format transition matrix result with
                        appropriate row and column names
group_adj               Group Level Adjustment That Accounts for
                        Propensity to Guess
item_lca_fit            Fit Independent Item-Wise LCA Models
lca_adj                 Person Level Adjustment
lca_cor                 Calculate item level and aggregate learning
lca_difficulty          Estimate LCA model with a bounded
                        guessing-probability link
lca_se                  Bootstrapped standard errors of effect size
                        estimates
log_likelihood          Calculate log-likelihood for transition data
multi_transmat          Creates a transition matrix for each item.
nona                    Normalize NA Responses
perplexity_individuals
                        Calculate perplexity from individual-level data
perplexity_items        Calculate perplexity from aggregated item data
person_item_lca_fit     Fit a Joint Person-Level Latent Class Model
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
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
transmat                transmat: Cross-wave transition matrix
validate_compatible_dataframes
                        Validate that two data frames have compatible
                        dimensions
validate_gamma          Validate gamma parameter
validate_lucky_vector   Validate lucky vector for standard correction
validate_priors         Validate prior parameters
validate_recovery       Validate Parameter Recovery via Monte Carlo
                        Simulation
validate_transition_values
                        Validate transition matrix values
