Summary method for resid.grouped objects
The main use of this function is for identification of outliers.
## S3 method for class 'resid.grouped' summary(object, K = 2, observed = NULL, ...)
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
m <- grouped(cbind(lo, up) ~ treat * x, link = "logit", data = Sdata) summary(resid(m, TRUE))
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