All functions

AHP()

Select best model using analytic hyrarchy process

compare_solutions()

Compare latent profile models

estimate_profiles()

Estimate latent profiles

estimate_profiles_mclust()

Estimate latent profiles using mclust

estimate_profiles_mplus2()

Estimate latent profiles using Mplus

get_data()

Get data from objects generated by tidyLPA

get_estimates()

Get estimates from objects generated by tidyLPA

get_fit()

Get fit indices from objects generated by tidyLPA

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Pipe

pisaUSA15

student questionnaire data with four variables from the 2015 PISA for students in the United States

plot_density()

Create density plots for mixture models

plot_profiles()

Create latent profile plots

poms()

Apply POMS-coding to data

print(<tidyLPA>)

Print tidyLPA

print(<tidyProfile>)

Print tidyProfile

single_imputation()

Apply single imputation to data

tidyLPA

tidyLPA: Functionality to carry out Latent Profile Analysis in R