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.

Version: 0.1.0
Depends: R (≥ 3.1)
Imports: lavaan, magrittr, dplyr, tidyr, tibble, stats, purrr, simstandard (≥ 0.6.3), ggplot2, ggnormalviolin, rlang, patchwork, scales, ragg, lifecycle
Suggests: testthat, knitr, glue, mvtnorm, kableExtra, forcats, stringr, rmarkdown, covr, roxygen2, bookdown
Published: 2021-05-13
Author: W. Joel Schneider ORCID iD [aut, cre], Feng Ji [aut]
Maintainer: W. Joel Schneider <w.joel.schneider at gmail.com>
BugReports: https://github.com/wjschne/unusualprofile/issues
License: GPL (≥ 3)
URL: https://github.com/wjschne/unusualprofile
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: unusualprofile results


Reference manual: unusualprofile.pdf
Vignettes: Introduction to the unusualprofile package
Calculations performed by the unusualprofile package


Package source: unusualprofile_0.1.0.tar.gz
Windows binaries: r-devel: unusualprofile_0.1.0.zip, r-release: unusualprofile_0.1.0.zip, r-oldrel: unusualprofile_0.1.0.zip
macOS binaries: r-release (arm64): unusualprofile_0.1.0.tgz, r-release (x86_64): unusualprofile_0.1.0.tgz, r-oldrel: unusualprofile_0.1.0.tgz


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