summary.resid.grouped: Summary method for resid.grouped objects

In grouped: Regression Analysis of Grouped and Coarse Data

Description

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

Usage

## S3 method for class 'resid.grouped'
summary(object, K = 2, observed = NULL, ...)

Arguments

object	an object of class resid.grouped.
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.

Details

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.

Value

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.

Author(s)

Dimitris Rizopoulos [e-mail]

See Also

residuals.grouped

Examples

m <- grouped(cbind(lo, up) ~ treat * x, link = "logit", data = Sdata)
summary(resid(m, TRUE))

grouped documentation built on May 2, 2019, 2:42 a.m.