unusualprofile
cranv0.1.4Calculates 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
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curl https://depscope.dev/api/check/cran/unusualprofileFirst published · 2024-02-15 00:45:29
Last updated · 2024-02-14T22:20:03+00:00