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: |
1.3.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
doBy, combinat, flexclust, graphics, matrixStats, stats, utils |
| Suggests: |
knitr, xtable, rmarkdown |
| Published: |
2026-06-08 |
| 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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