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: Linking:Please use the canonical form https://CRAN.R-project.org/package=miclust to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4