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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 |
DOI: | 10.32614/CRAN.package.unusualprofile |
Author: | W. Joel Schneider |
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 |
Reference manual: | unusualprofile.pdf |
Vignettes: |
Calculations performed by the unusualprofile package |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.