Description Usage Arguments Value

Using generialized ESD to detect outliers, iterate and remove point with ares higher than lamda in a univariate data set assumed to come from a normally distributed population.

1 | ```
detect_anoms_sd(data, max_anoms = 0.1, alpha = 0.01, direction = "pos")
``` |

`data` |
A vectors of boservations. |

`max_anoms` |
Maximal percentile of anomalies. |

`alpha` |
The level of statistical significance with which to accept or reject anomalies. |

`direction` |
Directionality of the anomalies to be detected. Options are: 'pos' | 'neg' | 'both'. |

A vector containing indexes of the anomalies (outliers).

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