unusualprofile

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.