The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

crassmat: Conditional Random Sampling Sparse Matrices

Conducts conditional random sampling on observed values in sparse matrices. Useful for training and test set splitting sparse matrices prior to model fitting in cross-validation procedures and estimating the predictive accuracy of data imputation methods, such as matrix factorization or singular value decomposition (SVD). Although designed for applications with sparse matrices, CRASSMAT can also be applied to complete matrices, as well as to those containing missing values.

Version: 0.0.6
Depends: svMisc
Suggests: NMF, recommenderlab
Published: 2019-07-02
DOI: 10.32614/CRAN.package.crassmat
Author: Nick Kunz
Maintainer: Nick Kunz <nick.kunz at columbia.edu>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: crassmat results

Documentation:

Reference manual: crassmat.pdf

Downloads:

Package source: crassmat_0.0.6.tar.gz
Windows binaries: r-devel: crassmat_0.0.6.zip, r-release: crassmat_0.0.6.zip, r-oldrel: crassmat_0.0.6.zip
macOS binaries: r-release (arm64): crassmat_0.0.6.tgz, r-oldrel (arm64): crassmat_0.0.6.tgz, r-release (x86_64): crassmat_0.0.6.tgz, r-oldrel (x86_64): crassmat_0.0.6.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=crassmat to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.