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High-Performance Open-Source Archive

CRAN: Package depthR

depthR: Multivariate Depth Functions for General Dimension

Efficient computation of multivariate statistical depth functions in arbitrary dimension d. Implements Mahalanobis depth, Tukey (halfspace) depth, Liu simplicial depth (via adaptive Monte Carlo), projection depth, and spatial depth. Provides depth-based medians, central regions, outlier detection, and depth-depth plots. 'C++' backends via 'Rcpp' and 'RcppEigen' ensure performance at large n and d. References: Liu (1990) <doi:10.1214/aos/1176347507>, Zuo and Serfling (2000) <doi:10.1214/aos/1016218226>, Vardi and Zhang (2000) <doi:10.1073/pnas.97.4.1423>.

Version: 0.1.8
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 1.0.0), RcppParallel (≥ 5.0.0), stats, graphics
LinkingTo: Rcpp, RcppEigen (≥ 0.3.3), RcppParallel (≥ 5.0.0)
Suggests: testthat (≥ 3.0.0), MASS, knitr, rmarkdown
Published: 2026-06-26
DOI: 10.32614/CRAN.package.depthR
Author: Jason Parker [aut, cre]
Maintainer: Jason Parker <jparker588 at gmail.com>
BugReports: https://github.com/penny4nonsense/depthR/issues
License: GPL (≥ 3)
URL: https://github.com/penny4nonsense/depthR
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: depthR results

Documentation:

Reference manual: depthR.html , depthR.pdf
Vignettes: Introduction to depthR (source, R code)

Downloads:

Package source: depthR_0.1.8.tar.gz
Windows binaries: r-devel: depthR_0.1.8.zip, r-release: depthR_0.1.8.zip, r-oldrel: depthR_0.1.8.zip
macOS binaries: r-release (arm64): depthR_0.1.8.tgz, r-oldrel (arm64): depthR_0.1.8.tgz, r-release (x86_64): depthR_0.1.8.tgz, r-oldrel (x86_64): depthR_0.1.8.tgz

Linking:

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