| bootstrap_lrt | Parametric bootstrap likelihood-ratio comparison |
| candidate_fit | Take one fitted model out of an enumeration grid |
| compare_models | Compare fitted models on the same data |
| course_engagement | Student engagement across a sequence of courses |
| descriptives | Describe the variables a model uses, or will use |
| diagnostics | Every classification diagnostic, in one call |
| enumerate_classes | Enumerate numbers of individual profiles and group classes |
| enumerate_lca | Compare latent class models |
| enumerate_lpa | Compare latent profile models |
| enumerate_regressions | Compare mixture regressions with different numbers of classes |
| fit_staged | Fit a two-level model in stages, holding the measurement... |
| get_group_tna | A transition network for each latent group class |
| get_results | Every table a fitted model holds, from one verb |
| get_results.latents_family_enumeration | Tables of a group-class family enumeration |
| get_results.latents_growth_mixture | Tidy results of a growth mixture model |
| get_results.latents_mixture_regression | Tables of a mixture-of-regressions fit |
| get_results.latents_pooled | Tables of a pooled multiply imputed fit |
| get_results.latents_transition_enumeration | Tables of a transition-model enumeration |
| get_results.multilpa_additive | Tables of an additive group-class fit |
| get_results.multilpa_cross_level | Tables of a cross-level fit |
| get_results.multilpa_lta | Tables of a latent transition fit with occasion- or... |
| get_tna | A transition network for the whole sample |
| growth_schools | Reading growth of students nested in schools |
| growth_scores | Achievement growth of students with three kinds of trajectory |
| latents-as-data-frame | Convert latents results to a data frame |
| latents-conditions | Conditions this package raises |
| latents-model-methods | Coefficients, covariance, intervals and likelihood of latents... |
| latents-print | Print latents results |
| latents-summary | Summarise latents results |
| lca | Latent class analysis |
| lpa | Latent profile analysis |
| lta | Latent transition analysis |
| mixture_regression | Fit a finite mixture of regressions |
| multilca | Fit a two-level latent class model |
| multilpa | Fit a two-level latent profile model |
| parameter_inference | Tidy inference for a covariate fit |
| parameter_inference.multilpa_transitions | Wald inference for a latent transition model |
| plot.latents_comparison | Plot a model comparison |
| plot.latents_family_enumeration | Plot information criteria across group-class families |
| plot.latents_growth_mixture | Plot a growth mixture model |
| plot.latents_mixture_regression | Plot a mixture-of-regressions fit |
| plot.latents_pooled | Plot a pooled multiply imputed fit |
| plot.latents_transition_enumeration | Plot information criteria across transition models |
| plot.multilpa | Plot a fitted multilevel latent profile model |
| plot.multilpa_additive | Plot an additive group-class fit |
| plot.multilpa_bootstrap_lrt | Plot a simulated bootstrap null distribution |
| plot.multilpa_covariates | Plot a covariate model |
| plot.multilpa_cross_level | Plot a cross-level fit |
| plot.multilpa_enumeration | Plot a class-enumeration grid |
| plot.multilpa_lta | Plot transition probabilities of a general transition fit |
| plot.multilpa_transitions | Plot a fitted latent transition model |
| plot_views | The plots this package can draw |
| pool_imputations | Fit a model to multiply imputed data and pool it with Rubin's... |
| predict.latents_growth_mixture | Prediction for a growth mixture model (not implemented) |
| predict.latents_mixture_regression | Predict from a mixture-of-regressions fit |
| predict.multilpa | Classify new observations with a fitted model |
| prior_control | Conjugate prior for Gaussian mixture estimation |
| r3step | Covariates predicting class membership, corrected for... |
| report | Everything about a fit, in one call |
| sensitivity | Does the solution survive a different seed? |
| simulate.latents_growth_mixture | Simulate outcomes from a growth mixture model |
| simulate.latents_mixture_regression | Simulate outcomes from a mixture-of-regressions fit |
| srl | Self-regulated learning scores simulated by a large language... |
| starting_values | Build starting values for a multilevel latent profile fit |
| student_esm | Leisure activities of university students in daily life |
| study_hours | Study hours and quiz scores under two study strategies |
| three_step | Relate a latent class to an outcome it did not help define |
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