Package: unusualprofile 0.1.4

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.

Authors:W. Joel Schneider [aut, cre], Feng Ji [aut]

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manual.pdf |manual.html✨
card.svg |card.png
unusualprofile/json (API)
NEWS

# Install 'unusualprofile' in R:
install.packages('unusualprofile', repos = c('https://wjschne.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wjschne/unusualprofile/issues

Pkgdown/docs site:https://wjschne.github.io

Datasets:

On CRAN:

Conda:

quarto

5.01 score 3 stars 17 scripts 231 downloads 5 exports 30 dependencies

Last updated from:8fe3bfe829. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK159
source / vignettesOK267
linux-release-x86_64OK150
macos-release-arm64OK141
macos-oldrel-arm64OK158
windows-develOK134
windows-releaseOK114
windows-oldrelOK112
wasm-releaseOK129

Exports:cond_mahais_singularp2labelproportion_roundproportion2percentile

Dependencies:clicpp11dplyrfarvergenericsggnormalviolinggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Calculations performed by the unusualprofile package

Rendered fromunusualprofile_calculations.qmdusingquarto::htmlon May 21 2026.

Last update: 2025-08-23
Started: 2025-08-17

Introduction to the unusualprofile package

Rendered fromtutorial_unusualprofile.qmdusingquarto::htmlon May 21 2026.

Last update: 2025-08-23
Started: 2025-08-17