g-and-k and g-and-h Distribution Functions

abc | Approximate Bayesian computation inference |

abc_batch | Single batch of ABC |

fdsa | Finite difference stochastic approximation inference |

fx | Exchange rate example |

g-and-h | g-and-h distribution functions |

g-and-k | g-and-k distribution functions |

improper_uniform_log_density | Improper uniform log density |

isValid | Check validity of g-and-k or g-and-h parameters |

isValid_scalar | Check validity of g-and-k or g-and-h parameters |

logSumExp | Calculate log sum exp safely |

mcmc | Markov chain Monte Carlo inference |

momentEstimates | Convert octiles to moment estimates |

orderstats | Order statistics |

pgh_scalar | Distribution function for the g-and-h distribution |

pgk_scalar | Distribution function for the g-and-k distribution |

project | Project into a region |

Qgh_deriv | g-and-h Q derivative |

Qgh_log_deriv | g-and-h Q log derivative |

Qgk_deriv | g-and-k Q derivative |

Qgk_log_deriv | g-and-k Q log derivative |

z2gh | Transform standard normal draws to g-and-h draws. |

z2gk | Transform standard normal draws to g-and-k draws. |

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