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: 0.1.1
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
Published: 2022-11-30
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

Documentation:

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

Downloads:

Package source: unusualprofile_0.1.1.tar.gz
Windows binaries: r-devel: unusualprofile_0.1.1.zip, r-release: unusualprofile_0.1.1.zip, r-oldrel: unusualprofile_0.1.1.zip
macOS binaries: r-release (arm64): unusualprofile_0.1.1.tgz, r-oldrel (arm64): unusualprofile_0.1.1.tgz, r-release (x86_64): unusualprofile_0.1.1.tgz, r-oldrel (x86_64): unusualprofile_0.1.1.tgz
Old sources: unusualprofile archive

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