miclust: Multiple Imputation in Cluster Analysis (original) (raw)
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: | 1.2.8 |
|---|---|
| Depends: | R (≥ 4.1) |
| Imports: | doBy, combinat, flexclust, graphics, irr, matrixStats, stats, utils |
| Suggests: | knitr, xtable, rmarkdown |
| Published: | 2022-02-07 |
| DOI: | 10.32614/CRAN.package.miclust |
| Author: | Jose Barrera-Gomez [aut, cre], Xavier Basagana [aut] |
| Maintainer: | Jose Barrera-Gomez <jose.barrera at isglobal.org> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | miclust citation info |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | miclust results |
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