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 ith 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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