Package: miclust
Type: Package
Title: Multiple Imputation in Cluster Analysis
Version: 1.2.8
Authors@R: c(person(given = "Jose", family = "Barrera-Gomez", role = c("aut", "cre"), email = "jose.barrera@isglobal.org",
                    comment = c(ORCID = "0000-0002-2688-6036")),
             person(given = "Xavier", family = "Basagana", role = "aut", email = "xavier.basagana@isglobal.org",
                    comment = c(ORCID = "0000-0002-8457-1489")))
Description: 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>.
Depends: R (>= 4.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
Suggests: knitr, xtable, rmarkdown
Imports: doBy, combinat, flexclust, graphics, irr, matrixStats, stats,
        utils
Author: Jose Barrera-Gomez [aut, cre] (<https://orcid.org/0000-0002-2688-6036>),
  Xavier Basagana [aut] (<https://orcid.org/0000-0002-8457-1489>)
Maintainer: Jose Barrera-Gomez <jose.barrera@isglobal.org>
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2022-02-07 17:00:17 UTC; jbarrera
Repository: CRAN
Date/Publication: 2022-02-07 17:20:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:02:00 UTC; unix
