miclust: Multiple Imputation in Cluster Analysis

Implementation of a framework for cluster analysis with selection of the final number of clusters and an optional variable selection procedure. The package is designed to integrate the results of multiple imputed datasets while accounting for the uncertainty that the imputations introduce in the final results. In addition, the package can also be used for a cluster analysis of the complete cases of a single dataset. The package also includes specific methods to summarize and plot the results. The methods are described in Basagana et al. (2013) <doi:10.1093/aje/kws289>.

Version: 1.2.6
Depends: R (≥ 4.0)
Imports: doBy, combinat, flexclust, graphics, irr, matrixStats, stats, utils
Suggests: knitr, rmarkdown
Published: 2021-03-10
Author: Jose Barrera-Gomez ORCID iD [aut, cre], Xavier Basagana ORCID iD [aut]
Maintainer: Jose Barrera-Gomez <jose.barrera at isglobal.org>
License: GPL-3
NeedsCompilation: no
Citation: miclust citation info
Materials: README NEWS
CRAN checks: miclust results


Reference manual: miclust.pdf
Package source: miclust_1.2.6.tar.gz
Windows binaries: r-devel: miclust_1.2.6.zip, r-release: miclust_1.2.6.zip, r-oldrel: miclust_1.2.6.zip
macOS binaries: r-release (arm64): miclust_1.2.6.tgz, r-release (x86_64): miclust_1.2.6.tgz, r-oldrel: miclust_1.2.6.tgz


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