bootstrap_lrt           Parametric bootstrap likelihood-ratio test for
                        nested mixture models
compare_models          Compare the fit and classification of mixture
                        models
course_engagement       Student engagement across a sequence of courses
descriptives            Descriptive statistics and intraclass
                        correlations of model variables
diagnostics             Diagnostics of a fitted model
enumerate_classes       Class enumeration and comparison of mixture
                        models
enumerate_lca           Compare latent class models
enumerate_lpa           Compare latent profile models
enumerate_regressions   Assess the number of classes in mixture
                        regression models
fit_staged              Estimate group classes with fixed individual
                        profile definitions
get_candidate           Retrieve a fitted model from an enumeration or
                        comparison
get_group_tna           Construct transition networks for latent group
                        classes
get_results             Extract model estimates and analysis results
get_tna                 Represent transitions between latent states as
                        a network
growth_schools          Reading growth of students nested in schools
growth_scores           Simulated achievement scores with three growth
                        trajectories
latents-conditions      Errors, warnings and diagnostic messages
latents-package         Latent Profile, Class and Transition Models
latents-plots           Plot model estimates, classification summaries,
                        and comparisons
lca                     Fit a latent class model
lpa                     Fit a latent profile model
lta                     Fit a latent transition model
mixture_regression      Estimate regression relationships that vary
                        across latent classes
multilca                Fit a two-level latent class model
multilpa                Fit a two-level latent profile model
parameter_inference     Standard errors, confidence intervals and tests
                        for model parameters
pool_imputations        Fit and pool mixture models across multiple
                        imputations
predict.latents_mixture_regression
                        Predict from and simulate a fitted model
prior_control           Specify prior settings for Gaussian profile
                        estimation
r3step                  Relate latent class membership to external
                        covariates
report                  Display model estimates and diagnostic
                        summaries
sensitivity             Assess sensitivity of a fitted mixture model to
                        initialisation
srl                     Self-regulated learning scores generated by a
                        large language model
starting_values         Extract starting values for a subsequent fit
student_esm             Leisure activities of university students in
                        daily life
study_hours             Study hours and quiz scores under two study
                        strategies
three_step              Compare latent classes on an external outcome
vcov.multilpa_covariates
                        Extract model coefficients, covariance matrices
                        and likelihood summaries
