outlierProbs.robmixglm: Calculate outlier probabilities for each observation.

In robmixglm: Robust Generalized Linear Models (GLM) using Mixtures

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)

Arguments

object

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

Details

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

Value

outlier.prob

Posterior probability that each observation is an outlier

Author(s)

Ken Beath <[e-mail]>

Examples

library(MASS)
data(forbes)
forbes.robustmix <- robmixglm(bp~pres, data = forbes, cores = 1)
outlierProbs(forbes.robustmix)

robmixglm documentation built on Sept. 30, 2024, 9:34 a.m.