Generates the analytically expected Mean Squared Error of a dpCDF. introduced by random noise, SUPPOSING that the DP-CDF is through the use of a noisy binary tree.

1 | ```
MSEanalytic(eps, range, gran, data, ...)
``` |

`eps` |
Epsilon value for differential privacy control |

`range` |
A vector length 2 containing user-specified min and max to truncate the universe to |

`gran` |
The smallest unit of measurement in the data (one [year] for a list of ages) |

`data` |
The vector of data from which the DP CDF was/is computed |

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

The MSE guaranteed by the given parameter combination assuming it's built from the min and max inward from a DP-Histogram, with 95

1 | ```
MSEanalytic(.01, c(1,10),1, rexp(10000,.4))
``` |

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