Description Usage Arguments Value Examples

View source: R/CDFtestingSuite.R

Find the maximum direct error between a non-private CDF and a DP approximation of that CDF.

1 | ```
MaxError_CDF(Y, est, ...)
``` |

`Y` |
The vector output of a non-differentially private CDF computation (cumulative count bins) |

`est` |
The vector output of a differentially private CDF computation (cumulative count bins) |

`...` |
Optionally add additional parameters. This is primarily used to allow automated execution of varied diagnostic functions. |

A single value, the largest absolute vertical difference between parallel observations in the private- and true-CDF vectors.

1 | ```
MaxError_CDF(c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1), c(.1,.2,.3,.3,.3,.3,.3,.3,.4,1))
``` |

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