robmixglm (version 1.2-5)

outlierProbs: Calculate outlier probabilities for each observation.

Description

For the normal mixture random effect calculates the probability that each observation is an outlier based on the posterior probability of it being an outlier.

Usage

outlierProbs(object)

Value

outlier.prob

Posterior probability that each observation is an outlier

Arguments

object

A metaplus object with a mixture (robust) random effects distribution.

Author

Ken Beath <[e-mail]>

Details

The outlier probabilities are obtained as the posterior probabilities of each observation being an outlier based on the fitted mixture model.

Examples

# \donttest{
library(MASS)
data(forbes)
forbes.robustmix <- robmixglm(bp~pres, data = forbes, cores = 1)
outlierProbs(forbes.robustmix)
# }