Description Usage Arguments Details Value Author(s) Examples

View source: R/mv.calout.detect.R

interface to a parametric multivariate outlier detection algorithm

1 2 3 | ```
mv.calout.detect(x, k = min(floor((nrow(x) - 1)/2), 100), Ci = C.unstr,
lamfun = lams.unstr, alpha = 0.05, method = c("parametric",
"rocke", "kosinski.raw", "kosinski.exch")[1], ...)
``` |

`x` |
data matrix |

`k` |
upper bound on number of outliers; defaults to just less than half the sample size |

`Ci` |
function computing Ci, the covariance determinant ratio
excluding row i. At present, sole
option is |

`lamfun` |
function computing lambda, the critical values for Ci |

`alpha` |
false outlier labeling rate |

`method` |
string identifying algorithm to use |

`...` |
reserved for future use |

bushfire is a dataset distributed by Kosinski to illustrate his method.

a list with components

`inds ` |
indices of outlying rows |

`vals ` |
values of outlying rows |

`k ` |
input parameter k |

`alpha` |
input parameter alpha |

VJ Carey

1 2 3 4 |

nturaga/parody documentation built on July 23, 2018, 12:12 a.m.

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