Robust DPD Methods for Casewise and Cellwise Contamination R package mvdpd version 0.1-1 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. Software Depends: R (>= 3.5.0) Imports: MASS Suggests: knitr, robustbase, cellWise, dplyr, ggplot2, reshape2, tidyr Claudio Agostinelli <claudio.agostinelli@unitn.it> Comprehensive R Archive Network (CRAN) Claudio Agostinelli [aut, cre], Abhik Ghosh [aut], Ayanendranath Basu [aut] GPL (>= 2) 2026-09-05 application/tgz https://CRAN.R-project.org/package=mvdpd doi:10.32614/CRAN.package.mvdpd