%>% |
Pipe |
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 |
get_data |
Get data from objects generated by tidyLPA |
get_data.tidyLPA |
Get data from objects generated by tidyLPA |
get_data.tidyProfile |
Get data from objects generated by tidyLPA |
get_estimates |
Get estimates from objects generated by tidyLPA |
get_estimates.tidyLPA |
Get estimates from objects generated by tidyLPA |
get_estimates.tidyProfile |
Get estimates from objects generated by tidyLPA |
get_fit |
Get fit indices from objects generated by tidyLPA |
get_fit.tidyLPA |
Get fit indices from objects generated by tidyLPA |
get_fit.tidyProfile |
Get fit indices from objects generated by tidyLPA |
id_edu |
Simulated identity data |
pisaUSA15 |
student questionnaire data with four variables from the 2015 PISA for students in the United States |
plot_bivariate |
Create correlation plots for a mixture model |
plot_density |
Create density plots for mixture models |
plot_profiles |
Create latent profile plots |
plot_profiles.default |
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 |