Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source
or Commercial Software
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Documentation for package ‘tidyLPA’ version 1.1.0
Help Pages
| %>% | 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 |