Man pages for jrosen48/tidyLPA
Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
| AHP | Select best model using analytic hyrarchy process |
| as.tidyLPA | Convert Mplus output to object of class 'tidyLPA' |
| 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 | Pipe |
| pisaUSA15 | student questionnaire data with four variables from the 2015... |
| poms | Apply POMS-coding to data |
| print.tidyLPA | Print tidyLPA |
| print.tidyProfile | Print tidyProfile |
| reexports | Objects exported from other packages |
| single_imputation | Apply single imputation to data |
| tidyLPA | tidyLPA: Functionality to carry out Latent Profile Analysis... |
