Package: cclustr
Title: Consensus Clustering Methods for Multiple Imputed Data
Version: 0.1.1
Authors@R: c(
    person("Anhuar", "Duran Mendoza", email = "asteyduran15@gmail.com", role = "aut"),
    person("Andres", "Montenegro Lemus", email = "andresfemole@gmail.com", role = c("aut", "cre")),
    person("Mario", "Pacheco Lopez", email = "mariopachecolopez@gmail.com", role = "aut")
  )
Description: Provides tools for performing consensus clustering on multiple 
    imputed datasets. The package supports a range of clustering algorithms 
    across imputations, including hierarchical methods (e.g., Ward, single, 
    complete, average) and partition-based approaches such as k-means, 
    k-medoids (PAM), fuzzy clustering, model-based clustering ('mclust'), 
    and methods for mixed or categorical data (k-modes and k-prototypes). 
    A co-assignment matrix is constructed to quantify agreement between 
    partitions, and consensus solutions are derived via hierarchical 
    clustering applied to the resulting dissimilarity matrix. Additional 
    functions are provided for validation and visualization of clustering 
    results, facilitating robust analysis in the presence of missing data.
    Consensus clustering framework is based on Monti et al. (2003) 
    <doi:10.1023/A:1023949509487>, rank aggregation methods follow 
    Pihur et al. (2007) <doi:10.1093/bioinformatics/btm158>, and the 
    PAC (Proportion of Ambiguous Clustering) metric is based on 
    Senbabaoglu et al. (2014) <doi:10.1038/srep06207>.
License: MIT + file LICENSE
URL: https://github.com/andrews06ml/cclustr
BugReports: https://github.com/andrews06ml/cclustr/issues
Depends: R (>= 4.0)
Imports: cluster, e1071, fpc, graphics, stats, viridisLite, klaR,
        clustMixType, proxy, mclust
Suggests: knitr, mice, mlbench, rmarkdown, spelling, testthat (>=
        3.0.0), utils
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-05-13 01:54:56 UTC; andre
Author: Anhuar Duran Mendoza [aut],
  Andres Montenegro Lemus [aut, cre],
  Mario Pacheco Lopez [aut]
Maintainer: Andres Montenegro Lemus <andresfemole@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:20:07 UTC
