Multilevel Latent Profile, Class and Transition Models

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Documentation for package ‘latents’ version 1.1.9

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

latents-package	Latent Profile, Class and Transition Models
bootstrap_lrt	Parametric bootstrap likelihood-ratio test for nested mixture models
candidate_fit	Retrieve a fitted model from an enumeration or comparison
coef.multilpa	Extract model coefficients, covariance matrices and likelihood summaries
compare_models	Compare the fit and classification of mixture models
confint.multilpa	Extract model coefficients, covariance matrices and likelihood summaries
course_engagement	Student engagement across a sequence of courses
descriptives	Descriptive statistics and intraclass correlations of model variables
descriptives.data.frame	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_group_tna.multilpa_transitions	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	Latent Profile, Class and Transition Models
latents-conditions	Errors, warnings and diagnostic messages
latents-model-methods	Extract model coefficients, covariance matrices and likelihood summaries
latents-plots	Plot model estimates, classification summaries, and comparisons
latents-predict	Predict from and simulate a fitted model
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
plot_diagnostics	Plot model estimates, classification summaries, and comparisons
plot_enumeration	Plot model estimates, classification summaries, and comparisons
plot_prevalence	Plot model estimates, classification summaries, and comparisons
plot_profiles	Plot model estimates, classification summaries, and comparisons
plot_responses	Plot model estimates, classification summaries, and comparisons
plot_selection	Plot model estimates, classification summaries, and comparisons
plot_sequences	Plot model estimates, classification summaries, and comparisons
plot_transitions	Plot model estimates, classification summaries, and comparisons
plot_tree	Plot model estimates, classification summaries, and comparisons
plot_views	Plot model estimates, classification summaries, and comparisons
pool_imputations	Fit and pool mixture models across multiple imputations
predict.latents_mixture_regression	Predict from and simulate a fitted model
predict.multilpa	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
simulate.latents_mixture_regression	Predict from and simulate a fitted model
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	Extract model coefficients, covariance matrices and likelihood summaries
vcov.multilpa_covariates	Extract model coefficients, covariance matrices and likelihood summaries