unusualprofile-package: unusualprofile: Calculates Conditional Mahalanobis Distances

In unusualprofile: Calculates Conditional Mahalanobis Distances

unusualprofile: Calculates Conditional Mahalanobis Distances

Description

Calculates a Mahalanobis distance for every row of a set of outcome variables (Mahalanobis, 1936 \Sexpr[results=rd]{tools:::Rd_expr_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.

Author(s)

Maintainer: W. Joel Schneider [e-mail] (ORCID)

Authors:

• Feng Ji [e-mail]

See Also

Useful links:

• https://github.com/wjschne/unusualprofile

• https://wjschne.github.io/unusualprofile/

• Report bugs at https://github.com/wjschne/unusualprofile/issues

unusualprofile documentation built on May 29, 2024, 9:37 a.m.