Function reference • tidyLPA

All functions
`AHP()`	Select best model using analytic hyrarchy process
`calc_lrt()`	Lo-Mendell-Rubin likelihood ratio test
`compare_solutions()`	Compare latent profile models
`curry_mac`	Simulated MAC data
`empathy`	Simulated empathy data
`estimate_profiles()`	Estimate latent profiles
`estimate_profiles_mclust()`	Estimate latent profiles using mclust
`estimate_profiles_mplus2()`	Estimate latent profiles using Mplus
`estimate_profiles_openmx()`	Estimate latent profiles using OpenMx
`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
`id_edu`	Simulated identity data
`%>%`	Pipe
`pisaUSA15`	student questionnaire data with four variables from the 2015 PISA for students in the United States
`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

Reference