Calculates Conditional Mahalanobis Distances R package unusualprofile version 0.1.4 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. Software Depends: R (>= 3.1) Imports: dplyr, ggnormalviolin, ggplot2, magrittr, purrr, rlang, stats, tibble, tidyr Suggests: bookdown, covr, extrafont, forcats, glue, kableExtra, knitr, lavaan, lifecycle, mvtnorm, patchwork, ragg, rmarkdown, roxygen2, scales, simstandard (>= 0.6.3), stringr, sysfonts, testthat W. Joel Schneider <w.joel.schneider@gmail.com> Comprehensive R Archive Network (CRAN) W. Joel Schneider [aut, cre] (ORCID: <https://orcid.org/0000-0002-8393-5316>), Feng Ji [aut] GPL (>= 3) 2024-02-14 application/tgz https://CRAN.R-project.org/package=unusualprofile doi:10.32614/CRAN.package.unusualprofile en-US