Implementation of the PAWL algorithm

adaptiveMH | Adaptive Metropolis-Hastings |

binning | Class '"binning"' |

ConvertResults | Convert Results |

createAdaptiveRandomWalkProposal | Adaptive Random Walk proposal distribution for MCMC... |

createMixtureTarget | Mixture target distribution |

createTrimodalTarget | Trimodal target distribution |

getFrequencies | Observed Frequencies in each bin. |

icefloe | Image of ice floes |

normalize | Normalize weights |

pawl | Parallel Adaptive Wang-Landau |

PAWL-package | PARALLEL ADAPTIVE WANG-LANDAU |

PlotAllVar | Trace plot of all the variables |

PlotComp1vsComp2 | Plot one component versus another in a scatter plot |

PlotDensComp1vsComp2 | Plot one component versus another in a density plot |

PlotFH | Plot of the Flat Histogram occurrences |

PlotHist | Plot a histogram of one component of the chains |

PlotHistBin | Plot a histogram of the binning coordinate |

PlotLogTheta | Plot of the log theta penalties |

PlotNbins | Plot of the increase of the number of bins along the... |

pollution | Pollution Data |

preexplorationAMH | Pre exploration Adapative Metropolis-Hastings |

proposal | Class '"proposal"' |

smc | Sequential Monte Carlo |

smcparameters | SMC Tuning Parameters |

target | Class: target distribution |

tuningparameters | MCMC Tuning Parameters |

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