mixedClust: Co-Clustering of Mixed Type Data

Implementation of the co-clustering method for mixed type data proposed in M. Selosse, J. Jacques, C. Biernacki (2018) <https://hal.archives-ouvertes.fr/hal-01893457>. It consists in clustering simultaneously the rows (observations) and the columns (features) of a heterogeneous data set.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.11), fda, methods
LinkingTo: Rcpp, RcppProgress, RcppArmadillo
Suggests: rmarkdown, ordinalClust, knitr
Published: 2021-03-29
Author: Margot Selosse, Julien Jacques, Christophe Biernacki
Maintainer: Margot Selosse <margot.selosse at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: mixedClust results


Reference manual: mixedClust.pdf
Vignettes: mixedClust


Package source: mixedClust_1.0.2.tar.gz
Windows binaries: r-devel: mixedClust_1.0.2.zip, r-release: mixedClust_1.0.2.zip, r-oldrel: mixedClust_1.0.2.zip
macOS binaries: r-release (arm64): mixedClust_1.0.2.tgz, r-oldrel (arm64): mixedClust_1.0.2.tgz, r-release (x86_64): mixedClust_1.0.2.tgz, r-oldrel (x86_64): mixedClust_1.0.2.tgz
Old sources: mixedClust archive

Reverse dependencies:

Reverse suggests: diceR


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