Rcpp, stats, urca, RcppParallel, parallelly

Bootstrapping Estimates of Clustering Stability
Implementation of the bootstrapping approach for the estimation of clustering stability on observation and cluster level, as well as its application in estimating the number of clusters.
cluster, mclust, flexclust, sets, fpc, plyr

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<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.
cluster, mclust, flexclust, sets, fpc,
plyr,dplyr,doParallel,foreach,igraph,compiler,stats,parallel,grid,ggplot2,gridExtra,intergraph,GGally,network

c(person(given = "Mingmei",
family = "Tian",
role = c("aut", "cre"),
email = "mingmeit@buffalo.edu"),
person(given = "Han",
family = "Yu",
role = "aut")
)
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>.
cluster, mclust, flexclust, fpc,
plyr,dplyr,doParallel,foreach,igraph,compiler,stats,parallel,grid,ggplot2,gridExtra,intergraph,GGally,network,sna

c(person(given = "Tianmou",
family = "Liu",
role = c("aut","cre"),
email = "tianmoul@buffalo.edu"),
person(given = "Mingmei",
family = "Tian",
role = "aut"),
person(given = "Han",
family = "Yu",
role = "aut")
)
Tianmou Liu [aut, cre],
Mingmei Tian [aut],
Han Yu [aut]
cluster, mclust, flexclust, fpc, plyr, dplyr, doParallel,
foreach, igraph, compiler, stats, parallel, grid, ggplot2,
gridExtra, intergraph, GGally, network, sna