Package: miclust 1.2.8

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>.

Authors:Jose Barrera-Gomez [aut, cre], Xavier Basagana [aut]

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NEWS

# Install 'miclust' in R:
install.packages('miclust', repos = c('https://jobago.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • minhanes - Multiple imputation for nhanes data.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 stars 1 scripts 203 downloads 3 exports 51 dependencies

Last updated 3 years agofrom:f881e8d132. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winOKOct 12 2024
R-4.5-linuxOKOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:getdatagetvariablesfrequencymiclust

Dependencies:backportsbootbroomclassclicolorspacecombinatcowplotcpp11DerivdoBydplyrfansifarverflexclustgenericsggplot2gluegtableirrisobandlabelinglatticelifecyclelpSolvemagrittrMASSMatrixmatrixStatsmgcvmicrobenchmarkmodelrmodeltoolsmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr