Fit a Generalized Linear Mixed Model

calibration_parameters | Parameters needed to calibrate the cluster tree |

cluster_graph | The beliefs for the clusters and sepsets of a cluster tree,... |

coef.glmmFit | Extract Model Coefficients for a glmmFit object |

continuous_beliefs | A vector of terms in the factorization of a graphical model,... |

find_approximation_name | Find the name of the likelihood approximation used for... |

find_lfun_glmm | Find the log-likelihood function |

find_modfr_glmm | Parse a formula (and possibly subformulas) |

glmm | Fit a GLMM |

glmmFit | Construct a glmmFit object |

glmmsr | glmmsr: fit GLMMs with various approximation methods |

optimize_glmm | Maximize the approximated log-likelihood |

print.glmmFit | Print glmmFit object |

print.summaryGlmmFit | Print summaryGlmmFit object |

set_lme4_control | Control of Mixed Model Fitting |

summary.glmmFit | Summarize a glmmFit object |

summaryGlmmFit | Construct a summaryGlmmFit object |

three_level | A dataset simulated from a three-level model |

two_level | A dataset simulated from a two-level model |

vcov.glmmFit | Calculate Variance-Covariance Matrix for a glmmFit object |

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