Package: rsvddpd
Type: Package
Encoding: UTF-8
Title: Robust Singular Value Decomposition using Density Power
        Divergence
Version: 1.0.1
Date: 2025-09-18
Author: Subhrajyoty Roy [aut, cre]
Maintainer: Subhrajyoty Roy <subhrajyotyroy@gmail.com>
Authors@R: person("Subhrajyoty", "Roy", email = "subhrajyotyroy@gmail.com", role = c("aut", "cre"))
Description: Computing singular value decomposition with robustness is
        a challenging task. This package provides an implementation of
        computing robust SVD using density power divergence
        (<doi:10.48550/arXiv.2109.10680>). It combines the idea of
        robustness and efficiency in estimation based on a tuning
        parameter. It also provides utility functions to simulate
        various scenarios to compare performances of different
        algorithms.
License: MIT + file LICENSE
Imports: Rcpp (>= 1.0.5), MASS, stats, utils, matrixStats
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, microbenchmark, pcaMethods, V8
VignetteBuilder: knitr
URL: https://github.com/subroy13/rsvddpd
BugReports: https://github.com/subroy13/rsvddpd/issues
Repository: https://subroy13.r-universe.dev
Date/Publication: 2025-09-20 15:39:58 UTC
RemoteUrl: https://github.com/subroy13/rsvddpd
RemoteRef: HEAD
RemoteSha: af10141ec9182836a479e28b763099267e31ffb6
NeedsCompilation: yes
Packaged: 2026-06-17 09:23:07 UTC; root