Robust Singular Value Decomposition using Density Power
Divergence
person("Subhrajyoty", "Roy", email = "subhrajyotyroy@gmail.com", role = c("aut", "cre"))
Computing singular value decomposition with robustness is a challenging task.
This package provides an implementation of computing robust SVD using density power
divergence (<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.
Rcpp (>= 1.0.5), MASS, stats, utils, matrixStats

Render SVG Images into High-Quality Bitmap Arrays
Renders vector-based 'svg' images into high-quality
custom-size bitmap arrays using 'librsvg'. The resulting
bitmap can be written to e.g. 'png', 'jpeg' or 'webp' format.

Render SVG Images into PDF, PNG, PostScript, or Bitmap Arrays
Renders vector-based 'svg' images into high-quality custom-size bitmap
arrays using 'librsvg'. The resulting bitmap can be written to e.g. 'png', 'jpeg'
or 'webp' format. In addition, the package can convert images directly to various
formats such as pdf or postscript.

Renders vector-based svg images into high-quality custom-size bitmap
arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg
or webp format. In addition, the package can convert images directly to various
formats such as pdf or postscript.

spelling, svglite, png, jpeg, webp, ggplot2

spelling, svglite, magick, png, webp, ggplot2

spelling, svglite, magick, webp, ggplot2, knitr, rmarkdown

spelling, svglite, magick, webp, ggplot2, knitr

Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or
Bitmap Arrays
c(
person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-4035-0289")),
person("Salim", "Brüggemann", , "salim-b@pm.me", role = c("ctb"),
comment = c(ORCID = "0000-0002-5329-5987")))
Renders vector-based svg images into high-quality custom-size
bitmap arrays using 'librsvg2'. The resulting bitmap can be written to
e.g. png, jpeg or webp format. In addition, the package can convert
images directly to various formats such as pdf or postscript.
ggplot2, knitr, magick, rmarkdown, spelling, svglite, webp