Tools for General Maximum Likelihood Estimation

as.data.frame.profile.mle2 | convert profile to data frame |

BIC-methods | Log likelihoods and model selection for mle2 objects |

call.to.char | Convert calls to character |

dnorm_n | Normal distribution with profiled-out standard deviation |

get.mnames | extract model names |

ICtab | Compute table of information criteria and auxiliary info |

mle2 | Maximum Likelihood Estimation |

mle2.options | Options for maximum likelihood estimation |

mle-class | Class "mle2". Result of Maximum Likelihood Estimation. |

namedrop | drop unneeded names from list elements |

parnames | get and set parameter names |

pop_pred_samp | generate population prediction sample from parameters... |

predict-methods | Predicted values from an mle2 fit |

profile-methods | Likelihood profiles |

profile.mle-class | Methods for likelihood profiles |

relist | reconstruct the structure of a list |

sbinom | Abstract definitions of distributions |

slice | Calculate likelihood "slices" |

slice.mle-class | likelihood-surface slices |

strwrapx | Wrap strings at white space and + symbols |

summary.mle-class | Class "summary.mle2", summary of "mle2" objects |

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