Man pages for LeonieVm/lmfa
Latent Markov Factor Analysis for Exploring Measurement Model Differences in Intensive Longitudinal Data
| chull_lmfa | A Generic Convex-Hull-Based Model Selection Method |
| ESM | Example ESM dataset |
| factorscores_lmfa | Calculating state-specific factor scores |
| invariance | Evaluating for which individuals invariance holds across all... |
| lmfa | 'lmfa': The R-package for exploring within-person changes and... |
| modelselection | Model selection results for the example ESM data for 1-4... |
| plot.CHull | Plot function for: A Generic Convex-Hull-Based Model... |
| plot.lmfa_modelselection | Plot for model selection |
| plot.lmfa_step3 | Transition plot for a specific subject |
| probabilities | Caclulating initial state and transition probabilities |
| step1 | Estimating state-specific measurement models |
| step2 | Obtaining state assignment and classification errors |
| Step3 | Estimating the transition model (with or without covariates) |
| summary.lmfa_chull | Summary for 'lmfa_chull' |
| summary.lmfa_modelselection | Summary statistics for 'step1' with model selection |
| summary.lmfa_prob | Summary for 'probabilities' |
| summary.lmfa_step1 | Summary statistics for 'step1' |
| summary.lmfa_step2 | Summary statistics for 'step2' |
| summary.lmfa_step3 | Summary statistics for 'step3' |
| transitionmodel | Transition model results for the example ESM data with two... |
