Description Usage Arguments Value Note Author(s) References Examples

Returns the numerical partial derivate of `y`

wrt `x`

for a point of interest.

1 2 3 |

`x` |
a numeric vector. |

`y` |
a numeric vector. |

`order` |
integer; Controls the number of partial moment quadrant means. Defaults to |

`stn` |
numeric [0, 1]; Signal to noise parameter, sets the threshold of NNS.dep which reduces |

`eval.point` |
numeric; |

`deriv.order` |
numeric options: (1, 2); 1 (default) for first derivative. For second derivative estimate of |

`h` |
numeric [0, ...]; Percentage step used for finite step method. Defaults to |

`noise.reduction` |
the method of determing regression points options: ("mean", "median", "mode", "off"); In low signal to noise situations, |

`deriv.method` |
method of derivative estimation, options: ("NNS", "FS"); Determines the partial derivative from the coefficient of the NNS.reg output when |

Returns the value of the partial derivative estimate for the given order.

If a vector of derivatives is required, ensure `(deriv.method = "FS")`

.

Fred Viole, OVVO Financial Systems

Viole, F. and Nawrocki, D. (2013) "Nonlinear Nonparametric Statistics: Using Partial Moments" http://amzn.com/1490523995

Vinod, H. and Viole, F. (2017) "Nonparametric Regression Using Clusters" https://link.springer.com/article/10.1007/s10614-017-9713-5

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NNS documentation built on May 15, 2018, 5:04 p.m.

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