Graphical Interaction Models

cg-stats | Mean, covariance and counts for grouped data (statistics for... |

citest-array | Test for conditional independence in a contingency table |

citest-df | Test for conditional independence in a dataframe |

citest-generic | Generic function for conditional independence test |

citest-mvn | Test for conditional independence in the multivariate normal... |

citest-ordinal | A function to compute Monte Carlo and asymptotic tests of... |

cmod | Graphical Gaussian model |

coerce_models | Coerce models to different representations |

emat_operations | Edge matrix operations |

fast_cov | Fast computation of covariance / correlation matrix |

fit_ggm_grips | Fit Gaussian graphical models |

generate_models | Generate various grapical models |

generate_n01 | Genrate matrix of N(0, 1) variables |

getEdges | Find edges in a graph or edges not in an undirected graph. |

ggmfit | Iterative proportional fitting of graphical Gaussian model |

imodel-dmod | Discrete interaction model (log-linear model) |

imodel-general | General functions related to iModels |

imodel-info | Get information about mixed interaction model objects |

imodel-mmod | Mixed interaction model. |

impose_zero | Impose zeros in matrix entries which do not correspond to an... |

internal | Internal functions for the gRim package |

loglin-dim | Return the dimension of a log-linear model |

loglin-effloglin | Fitting Log-Linear Models by Message Passing |

modify_glist | Modify generating class for a graphical/hierarchical model |

parm-conversion | Conversion between different parametrizations of mixed models |

parse_gm_formula | Parse graphical model formula |

stepwise | Stepwise model selection in (graphical) interaction models |

testadd | Test addition of edge to graphical model |

testdelete | Test deletion of edge from an interaction model |

test-edges | Test edges in graphical models with p-value/AIC value |

utilities_grips | Utilities for gRips |

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