A distribution is a data structure that holds sufficient informations to describe a probability density function by a set of parameters. More...

## Classes | |

class | edoDistrib< EOT > |

Base class for distributions. More... | |

class | edoNormalAdaptive< EOT > |

A normal distribution that can be updated via several components. More... | |

class | edoNormalMono< EOT > |

A normal (Gaussian) distribution that only model variances of variables. More... | |

class | edoNormalMulti< EOT > |

A multi-normal distribution, that models co-variances. More... | |

class | edoUniform< EOT > |

A uniform distribution. More... | |

## Modules | |

Adaptive normal | |

A multi-variate normal distribution that can be updated via several components. | |

Normal | |

A normal (Gaussian) distribution that only model variances of variables. | |

Multivariate normal | |

Distribution that model co-variances between variables. |

A distribution is a data structure that holds sufficient informations to describe a probability density function by a set of parameters.

It is passed across EDO operators and can be updated or manipulated by them.