`compare_solutions_mplus.Rd`

Explore fit statistics various models and numbers of profiles using MPlus (requires purchasing and installing MPlus to use)

compare_solutions_mplus(df, ..., n_profiles_min = 2, n_profiles_max = 10, models = list(c("equal", "zero"), c("varying", "zero"), c("equal", "equal"), c("varying", "varying")), starts = c(100, 10), cluster_ID = NULL, m_iterations = 500, st_iterations = 20, convergence_criterion = 1e-06, remove_tmp_files = FALSE, save_models = FALSE, return_table = TRUE, n_processors = 1, return_stats_df = TRUE, include_VLMR = TRUE, include_BLRT = FALSE)

df | data.frame with two or more columns with continuous variables |
---|---|

... | unquoted variable names separated by commas |

n_profiles_min | lower bound of the number of profiles to explore; defaults to 2 |

n_profiles_max | upper bound of the number of profiles to explore; defaults to 10 |

models | which models to include as a list of vectors; for each vector, the first value represents how the variances are estimated and the second value represents how the covariances are estimated; defaults to list(c("equal", "zero"), c("varying", "zero"), c("equal", "equal"), c("varying", "varying")) |

starts | number of initial stage starts and number of final stage optimizations; defaults to c(20, 4); can be set to be more conservative to c(500, 50) |

cluster_ID | clustering variable to use as part of MPlus 'type is complex' command |

m_iterations | number of iterations for the EM algorithm; defaults to 500 |

st_iterations | the number of initial stage iterations; defaults to 10; can be set more to be more conservative to 50 |

convergence_criterion | convergence criterion for the Quasi-Newton algorithm for continuous outcomes; defaults to 1E-6 (.000001); can be set more conservatively to 1E-7 (.0000001) |

remove_tmp_files | whether to remove data, script, and output files; defaults to TRUE |

save_models | whether to save the models as rds files |

return_table | logical (TRUE or FALSE) for whether to return a table of the output instead of a plot; defaults to TRUE |

n_processors | = 1 |

return_stats_df | whether to return a list of fit statistics for the solutions explored; defaults to TRUE |

include_VLMR | whether to include the Vu-Lo-Mendell-Rubin likelihood-ratio test; defaults to TRUE |

include_BLRT | whether to include the bootstrapped LRT; defaults to FALSE because of the time this takes to run |

a list with a data.frame with the BIC values and a list with all of the model output; if save_models is the name of an rds file (i.e., "out.rds"), then the model output will be written with that filename and only the data.frame will be returned

Explore the BIC values of a range of Mplus models in terms of a) the structure of the residual covariance matrix and b) the number of mixture components (or profiles)

# NOT RUN { compare_solutions_mplus(iris, Sepal.Length, Sepal.Width, Petal.Length, Petal.Width, n_profiles_max = 3) # }