ROptSpace: Matrix Reconstruction from a Few Entries

Matrix reconstruction, also known as matrix completion, is the task of inferring missing entries of a partially observed matrix. This package provides a method called OptSpace, which was proposed by Keshavan, R.H., Oh, S., and Montanari, A. (2009) <doi:10.1109/ISIT.2009.5205567> for a case under low-rank assumption.

Version: 0.2.2
Imports: Rcpp, Rdpack, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-02-21
Author: Kisung You ORCID iD [aut, cre]
Maintainer: Kisung You <kyoustat at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
In views: MissingData
CRAN checks: ROptSpace results

Downloads:

Reference manual: ROptSpace.pdf
Package source: ROptSpace_0.2.2.tar.gz
Windows binaries: r-prerelease: ROptSpace_0.2.2.zip, r-release: ROptSpace_0.2.2.zip, r-oldrel: ROptSpace_0.2.2.zip
macOS binaries: r-prerelease: ROptSpace_0.2.2.tgz, r-release: ROptSpace_0.2.2.tgz, r-oldrel: ROptSpace_0.2.2.tgz
Old sources: ROptSpace archive

Reverse dependencies:

Reverse imports: filling, graphon

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