compares a sample to reference distributions, identifying the closest reference by maximum KS p

1 | ```
maxKSp( x, is.centered=TRUE, dists=eddDistList, thresh=.1 )
``` |

`x` |
matrix of samples, distributions to be classified by row |

`is.centered` |
have data been brought to median 0, mad 1 |

`dists` |
list of instances of class eddDist |

`thresh` |
p-value above which some test must lie, or else 'outlier' is declared |

a vector of classifications

1 2 3 |

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