Package: bootcluster
Type: Package
Title: Bootstrapping Estimates of Clustering Stability
Version: 0.4.2
Authors@R: 
    c(person(given = "Han",
             family = "Yu",
             role = "aut"),
             person(given = "Mingmei",
             family = "Tian",
             role = "aut"),
             person(given = "Tianmou",
             family = "Liu",
             role = c("aut","cre"),
             email = "tianmouliu@outlook.com",
             comment = c(ORCID = "0000-0003-3584-0483"))
             )
Description: Implementation of the bootstrapping approach for the estimation of clustering stability and its application in estimating the number of clusters, as introduced by Yu et al (2016)<doi:10.1142/9789814749411_0007>. Implementation of the non-parametric bootstrap approach to assessing the stability of module detection in a graph, the extension for the selection of a parameter set that defines a graph from data in a way that optimizes stability and the corresponding visualization functions, as introduced by Tian et al (2021) <doi:10.1002/sam.11495>. Implemented out-of-bag stability estimation function and k-select Smin-based k-selection function as introduced by Liu et al (2022) <doi:10.1002/sam.11593>. Implemented ensemble clustering method based-on k-means clustering method, spectral clustering method and hierarchical clustering method.
Depends: R (>= 3.5.1)
Imports: cluster, mclust (>= 5.0.0), flexclust, fpc, plyr, dplyr,
        doParallel, foreach, igraph (>= 1.2.0), compiler, stats,
        parallel, grid, grDevices, ggplot2, gridExtra, intergraph,
        GGally, network, kernlab, sna, progress
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-06-17 13:26:12 UTC; tianm
Author: Han Yu [aut],
  Mingmei Tian [aut],
  Tianmou Liu [aut, cre] (ORCID: <https://orcid.org/0000-0003-3584-0483>)
Maintainer: Tianmou Liu <tianmouliu@outlook.com>
Repository: CRAN
Date/Publication: 2025-06-17 23:00:02 UTC
Built: R 4.5.1; ; 2025-10-26 03:42:09 UTC; windows
