unusualprofile (Q85496)
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Calculates Conditional Mahalanobis Distances
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | unusualprofile |
Calculates Conditional Mahalanobis Distances |
Statements
14 February 2024
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Calculates a Mahalanobis distance for every row of a set of outcome variables (Mahalanobis, 1936 <doi:10.1007/s13171-019-00164-5>). The conditional Mahalanobis distance is calculated using a conditional covariance matrix (i.e., a covariance matrix of the outcome variables after controlling for a set of predictors). Plotting the output of the cond_maha() function can help identify which elements of a profile are unusual after controlling for the predictors.
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