Given a `flexmix`

object perform parametric or empirical bootstrap.

1 2 3 4 5 6 7 8 9 | ```
boot(object, ...)
## S4 method for signature 'flexmix'
boot(object, R, sim = c("ordinary", "empirical", "parametric"),
initialize_solution = FALSE, keep_weights = FALSE,
keep_groups = TRUE, verbose = 0, control,
k, model = FALSE, ...)
LR_test(object, ...)
## S4 method for signature 'flexmix'
LR_test(object, R, alternative = c("greater", "less"), control, ...)
``` |

`object` |
A fitted finite mixture model of class |

`R` |
The number of bootstrap replicates. |

`sim` |
A character string indicating the type of simulation
required. Possible values are |

`initialize_solution` |
A logical. If |

`keep_weights` |
A logical. If |

`keep_groups` |
A logical. If |

`verbose` |
If a positive integer, then progress information
is reported every |

`control` |
Object of class |

`k` |
Vector of integers specifying for which number of components
finite mixtures are fitted to the bootstrap samples. If missing the
number of components of the fitted |

`alternative` |
A character string specifying the alternative
hypothesis, must be either |

`model` |
A logical. If |

`...` |
Further arguments to be passed to or from methods. |

`boot`

returns an object of class `FLXboot`

which
contains the fitted parameters, the fitted priors, the log
likelihoods, the number of components of the fitted mixtures and the
information if the EM algorithm has converged.

`LR_test`

returns an object of class `htest`

containing the
number of valid bootstrap replicates, the p-value, the - twice log
likelihood ratio test statistics for the original data and the
bootstrap replicates.

Bettina Gruen

1 2 3 4 5 6 7 |

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