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 (may not be active yet) |
| 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:
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