Quantile Regression Neural Network

adam | Adaptive stochastic gradient descent optimization algorithm... |

censored.mean | A hybrid mean/median function for left censored variables |

composite.stack | Reformat data matrices for composite quantile regression |

dummy.code | Convert a factor to a matrix of dummy codes |

gam.style | Modified generalized additive model plots for interpreting... |

huber | Huber norm and Huber approximations to the ramp and tilted... |

mcqrnn | Monotone composite quantile regression neural network... |

qrnn2 | Fit and make predictions from QRNN models with two hidden... |

qrnn.cost | Smooth approximation to the tilted absolute value cost... |

qrnn.fit | Main function used to fit a QRNN model or ensemble of QRNN... |

qrnn.initialize | Initialize a QRNN weight vector |

qrnn-package | Quantile Regression Neural Network |

qrnn.predict | Evaluate quantiles from trained QRNN model |

qrnn-rbf | Radial basis function kernel |

quantile.dtn | Interpolated quantile distribution with exponential tails |

tilted.abs | Tilted absolute value function |

transfer | Transfer functions and their derivatives |

YVRprecip | Daily precipitation data at Vancouver Int'l Airport (YVR) |

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