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.

missSOM: Self-Organizing Maps with Built-in Missing Data Imputation

The Self-Organizing Maps with Built-in Missing Data Imputation. Missing values are imputed and regularly updated during the online Kohonen algorithm. Our method can be used for data visualisation, clustering or imputation of missing data. It is an extension of the online algorithm of the 'kohonen' package. The method is described in the article "Self-Organizing Maps for Exploration of Partially Observed Data and Imputation of Missing Values" by S. Rejeb, C. Duveau, T. Rebafka (2022) <doi:10.48550/arXiv.2202.07963>.

Version: 1.0.1
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.7), kpodclustr
LinkingTo: Rcpp
Published: 2022-05-05
DOI: 10.32614/CRAN.package.missSOM
Author: Sara Rejeb [aut, cre], Tabea Rebafka [ctb], Catherine Duveau [ctb], Ron Wehrens [cph] (Author of included functions from the 'kohonen' package), Johannes Kruisselbrink [cph] (Author of included functions from the 'kohonen' package)
Maintainer: Sara Rejeb <sara.rejeb at live.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: missSOM citation info
In views: MissingData
CRAN checks: missSOM results

Documentation:

Reference manual: missSOM.pdf

Downloads:

Package source: missSOM_1.0.1.tar.gz
Windows binaries: r-devel: missSOM_1.0.1.zip, r-release: missSOM_1.0.1.zip, r-oldrel: missSOM_1.0.1.zip
macOS binaries: r-release (arm64): missSOM_1.0.1.tgz, r-oldrel (arm64): missSOM_1.0.1.tgz, r-release (x86_64): missSOM_1.0.1.tgz, r-oldrel (x86_64): missSOM_1.0.1.tgz
Old sources: missSOM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=missSOM 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.