Man pages for modelbpp
Model BIC Posterior Probability
| dat_cfa | A Sample Dataset Based On a Confirmatory Factor Analysis... |
| dat_path_model | A Sample Dataset Based on a Path Model (For Testing) |
| dat_path_model_p06 | A Sample Dataset Based On a Complex Path Model (For Testing) |
| dat_sem | A Sample Dataset Based On a Structural Model (For Testing) |
| dat_serial_4 | A Sample Dataset Based On a Serial Mediation Model (For... |
| dat_serial_4_weak | A Sample Dataset Based On a Serial Mediation Model With Weak... |
| fit_many | Fit a List of Models |
| get_add | Models That Are Less Restricted |
| get_drop | Models That Are More Restricted |
| manipulate_partables | Manipulate Parameter Tables |
| measurement_invariance_models | Measurement Invariance Models |
| min_prior | Minimum Prior |
| modelbpp-package | modelbpp: Model BIC Posterior Probability |
| model_graph | Generate a Graph of Models |
| model_set | BIC Posterior Probabilities of Neighboring Models |
| partables_helpers | Helper Functions For 'partables'-Class Objects |
| plot.model_graph | Plot a Network of Models |
| print.model_set | Print a 'model_set'-Class Object |
| print.partables | Print a 'partables'-Class Object |
| print.sem_outs | Print an 'sem_outs'-Class Object |
