Markov Random Field Models for Image Analysis

basis_functions | Creation of basis functions |

bold5000 | BOLD5000 neuroimaging data |

cpmrf2d | Conditional probabilities in a pixel position |

data_examples | Example Data |

dplot | Plotting functions for lattice data |

fit_ghm | EM estimation for Gaussian Hidden Markov field |

fit_pl | Maximum Pseudo-likelihood fitting of MRFs on 2d lattices. |

fit_sa | Stochastic Approximation fitting of MRFs on 2d lattices |

hmrfout | MRF fitting functions output |

mrf2d-family | Parameter restriction families |

mrf2d-package | mrf2d: Markov Random Field Models for Image Analysis |

mrfi-class | mrfi: MRF interaction structure |

mrfout | MRF fitting functions output |

pl_mrf2d | Pseudo-likelihood function for MRFs on 2d lattices |

plot.mrfi | Plotting of 'mrfi' objects. |

rmrf2d | Sampling of Markov Random Fields on 2d lattices |

rmrf2d_mc | Markov Chain sampling of MRFs for Monte-Carlo methods |

smr_array | Summarized representation of theta arrays |

smr_stat | Summary Statistics |

Z_potts | Example objects from 'mrf2d' |

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