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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: |
1.2.8 |
| 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 |
Documentation:
Downloads:
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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.
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