Package: mvdpd
Type: Package
Title: Robust DPD Methods for Casewise and Cellwise Contamination
LazyLoad: yes
Version: 0.1-1
Date: 2026-08-23
Authors@R: c(person(given = "Claudio",
                      family = "Agostinelli",
                      role = c("aut", "cre"),
                      email = "claudio.agostinelli@unitn.it"),
               person(given = "Abhik",
                      family = "Ghosh",
                      role = "aut",
                      email = "abhik.ghosh.stat@gmail.com"),
               person(given = "Ayanendranath",
                      family = "Basu",
                      role = "aut",
                      email = "ayanedranath1962@gmail.com"))
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: MASS
Suggests: knitr, robustbase, cellWise, dplyr, ggplot2, reshape2, tidyr
SuggestsNote: mostly only because of vignette graphics
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-06 12:05:44 UTC; root
Author: Claudio Agostinelli [aut, cre], Abhik Ghosh [aut],
        Ayanendranath Basu [aut]
Maintainer: Claudio Agostinelli <claudio.agostinelli@unitn.it>
Repository: https://claudioagostinelli.r-universe.dev
Date/Publication: 2026-09-05 16:08:15 UTC
RemoteUrl: https://github.com/cran/mvdpd
RemoteRef: HEAD
RemoteSha: aaba2be227dd17e7125ac2c1b69219f41905374a