Description Usage Arguments Details Value Author(s) See Also Examples

The main use of this function is for identification of outliers.

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`object` |
an object of class |

`K` |
the cutoff point to identify outliers |

`observed` |
a numeric vector of possible observed data, e.g., the mean of the interval in which the true data lie. |

`...` |
additional arguments; currently none is used. |

Taking into advantage the realizations of the standardized residuals *r_i* provided by the Multiple Imputation
scheme, we can estimate the probability

*Pr(|r_i| > K), i = 1,…,n,*

which can be regarded as the
probability of the *i*th sample unit being an outlier.

a numeric matrix with columns, the fitted values, the estimated residuals, and the percentage of each sample unit
having an absolute residual greater than the value given by `K`

. If `!is.null(observed)`

its value is given as
the first column of the matrix.

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

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