Rdimtools: Dimension Reduction and Estimation Methods

We provide a rich collection of linear and nonlinear dimension reduction techniques implemented using 'RcppArmadillo'. The question on what we should use as the target dimension is addressed by intrinsic dimension estimation methods introduced as well. 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 cross-disciplinary overview.

Version: 0.1.2
Depends: R (≥ 3.2.0)
Imports: Rcpp (≥ 0.12.12), graphics, stats, Rtsne, Rcsdp, Rdpack, Rlinsolve
LinkingTo: Rcpp, RcppArmadillo
Published: 2017-11-14
Author: Kisung You [aut, cre], Donggun Kim [ctb], Yoon Mo Jung [ctb]
Maintainer: Kisung You <kyou at nd.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: Rdimtools results

Downloads:

Reference manual: Rdimtools.pdf
Package source: Rdimtools_0.1.2.tar.gz
Windows binaries: r-devel: Rdimtools_0.1.2.zip, r-release: Rdimtools_0.1.2.zip, r-oldrel: Rdimtools_0.1.2.zip
OS X El Capitan binaries: r-release: Rdimtools_0.1.2.tgz
OS X Mavericks binaries: r-oldrel: Rdimtools_0.1.2.tgz
Old sources: Rdimtools archive

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