outlierProbs function

Calculate outlier probabilities for each study.

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

## S3 method for class 'metaplus'
outlierProbs(object)

Arguments

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

Returns

• outlier.prob: Posterior probability that each study is an outlier

• slab: Labels corresponding to each study

Details

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

Author(s)

Ken Beath ken@kjbeath.id.au

Examples

data(mag)
mag3 <- metaplus(yi, sei, plotci = TRUE, slab = study, random = "mixture", cores = 1, data = mag)
mag3.outlierProbs <- outlierProbs(mag3)
plot(mag3.outlierProbs)