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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-1 |
rolling linux/jammy R-4.5 | mvdpd_0.1-1.tar.gz |
812.2 KiB |
0.1-1 |
rolling linux/noble R-4.5 | mvdpd_0.1-1.tar.gz |
812.2 KiB |
0.1-1 |
rolling source/ R- | mvdpd_0.1-1.tar.gz |
647.9 KiB |
0.1-1 |
latest linux/jammy R-4.5 | mvdpd_0.1-1.tar.gz |
812.2 KiB |
0.1-1 |
latest linux/noble R-4.5 | mvdpd_0.1-1.tar.gz |
812.2 KiB |
0.1-1 |
latest source/ R- | mvdpd_0.1-1.tar.gz |
647.9 KiB |
0.1-1 |
2026-04-23 source/ R- | mvdpd_0.1-1.tar.gz |
0 B |