Rdimtools: Dimension Reduction and Estimation Methods

We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) <doi:10.1111/j.1751-5823.2012.00182.x> if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) <doi:10.4230/OASIcs.VLUDS.2011.135> for a broader multi-disciplinary overview.

Version: 1.0.1
Depends: R (≥ 3.0.0)
Imports: CVXR (≥ 1.0), Rcpp (≥ 0.12.10), RcppDE, Rcsdp, Rdpack, RSpectra, graphics, maotai (≥ 0.1.5), stats, utils
LinkingTo: Rcpp, RcppArmadillo, RcppDist, maotai
Published: 2020-04-23
Author: Kisung You ORCID iD [aut, cre], Changhee Suh [ctb]
Maintainer: Kisung You <kyoustat at gmail.com>
BugReports: http://github.com/kyoustat/Rdimtools/issues
License: MIT + file LICENSE
URL: http://kyoustat.com/Rdimtools
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: Rdimtools results

Downloads:

Reference manual: Rdimtools.pdf
Package source: Rdimtools_1.0.1.tar.gz
Windows binaries: r-prerelease: Rdimtools_1.0.0.zip, r-release: Rdimtools_1.0.0.zip, r-oldrel: Rdimtools_1.0.0.zip
macOS binaries: r-prerelease: Rdimtools_1.0.0.tgz, r-release: Rdimtools_1.0.1.tgz, r-oldrel: Rdimtools_0.4.2.tgz
Old sources: Rdimtools archive

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