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:	0.1.4
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:	2024-02-14
Author:	W. Joel Schneider [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, https://wjschne.github.io/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_0.1.4.tar.gz
Windows binaries:	r-devel: unusualprofile_0.1.4.zip, r-release: unusualprofile_0.1.4.zip, r-oldrel: unusualprofile_0.1.4.zip
macOS binaries:	r-release (arm64): unusualprofile_0.1.4.tgz, r-oldrel (arm64): unusualprofile_0.1.4.tgz, r-release (x86_64): unusualprofile_0.1.4.tgz, r-oldrel (x86_64): unusualprofile_0.1.4.tgz
Old sources:	unusualprofile archive

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