Introduction | Functions and wrappers | Alcohol (n=44, d=7) | Figure S1 | Milk (n=68, d=8) | Figure S2 | Bushfire (n=38, d=5) | Figure S3 | Toxicity (n=38, d=10) | Transformed data | Table S1 | Original data (without transformation) | Table S2
Package: mvdpd 0.1-1
mvdpd: Robust DPD Methods for Casewise and Cellwise Contamination
Robust multivariate estimation based on multivariate, composite and componentwise Density Power Divergence (DPD) minimization in multivariate normal distribution for casewise and cellwise contamination. Robust estimation for multivariate ordered gamma model using multivariate and composite DPD minimization. See A. Ghosh, C. Agostinelli, and A. Basu (2026) A Composite Divergence Approach to Robust Multivariate Estimation under Cellwise and Casewise Contamination. <doi:10.48550/arXiv.2608.18914> for full details.
Authors:
mvdpd_0.1-1.tar.gz
mvdpd_0.1-1.zip(r-4.7-any)mvdpd_0.1-1.zip(r-4.6-any)mvdpd_0.1-1.zip(r-4.5-any)
mvdpd_0.1-1.tgz(r-4.6-any)mvdpd_0.1-1.tgz(r-4.5-any)
mvdpd_0.1-1.tar.gz(r-4.7-any)mvdpd_0.1-1.tar.gz(r-4.6-any)
mvdpd_0.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mvdpd/json (API)
| # Install 'mvdpd' in R: |
| install.packages('mvdpd', repos = c('https://claudioagostinelli.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- twocenturies50 - Two Centuries of Ultra Marathon Races
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:aaba2be227. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 117 | ||
| source / vignettes | OK | 836 | ||
| linux-release | OK | 108 | ||
| macos-release | OK | 131 | ||
| macos-oldrel | OK | 89 | ||
| windows-devel | OK | 91 | ||
| windows-release | OK | 79 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 96 |
Exports:dmvogammamvnormDPDmvogammaDPDmvogammaMLrmvogamma
Dependencies:MASS
mvnormDPD examples
Last update: 2026-09-05
Started: 2026-09-05
Analyzing Ultramarathon Race Performances example
Introduction | Load data and prepare datasets | Best 200 races in term of the first finisher (clean data?) | Casewise contaminated data | Cellwise contaminated data | PLot Heatmaps of data in common scale | Figure 5 | Estimation of parametrs | Compute absolute relative changes (in %) | Grouped Bar Plot for relative changes | Casewise contamination | Cellwise contamination | Table S3 | Clean data
Last update: 2026-09-05
Started: 2026-09-05
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Robust estimation for multivariate normal model using DPD based methods | mvnormDPD |
| The Multivariate Ordered Gamma-Generated Distribution | dmvogamma mvogamma rmvogamma |
| Robust estimation for multivariate ordered gamma model using DPD based methods | mvogammaDPD |
| Maximum Likelihood estimation for multivariate ordered gamma model | mvogammaML |
| Summary Method for "mvdpd" Objects | summary.mvdpd |
| Two Centuries of Ultra Marathon Races (Male 50-miles races) | twocenturies50 |