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wjschne
unusualprofile:Calculates Conditional Mahalanobis Distances
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.
Maintained by W. Joel Schneider. Last updated 1 years ago.
2 stars 4.20 score 16 scriptswjschne
WJSmisc:Miscellaneous functions from W. Joel Schneider
Several functions I find useful.
Maintained by W. Joel Schneider. Last updated 2 years ago.
5 stars 2.40 score 10 scripts