Man pages for tidyLPA
Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

AHPSelect best model using analytic hyrarchy process
as.tidyLPAConvert Mplus output to object of class 'tidyLPA'
calc_lrtLo-Mendell-Rubin likelihood ratio test
compare_solutionsCompare latent profile models
curry_macSimulated MAC data
empathySimulated empathy data
estimate_profilesEstimate latent profiles
estimate_profiles_mclustEstimate latent profiles using mclust
estimate_profiles_mplus2Estimate latent profiles using Mplus
get_dataGet data from objects generated by tidyLPA
get_estimatesGet estimates from objects generated by tidyLPA
get_fitGet fit indices from objects generated by tidyLPA
id_eduSimulated identity data
pisaUSA15student questionnaire data with four variables from the 2015...
plot_bivariateCreate correlation plots for a mixture model
plot_densityCreate density plots for mixture models
plot_profilesCreate latent profile plots
pomsApply POMS-coding to data
print.tidyLPAPrint tidyLPA
print.tidyProfilePrint tidyProfile
single_imputationApply single imputation to data
tidyLPAtidyLPA: Functionality to carry out Latent Profile Analysis...
tidyLPA documentation built on Nov. 17, 2021, 5:07 p.m.