bootcluster: Bootstrapping Estimates of Clustering Stability

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.

Version: 0.2.0
Depends: R (≥ 3.3.1)
Imports: cluster, mclust, flexclust, sets, fpc, plyr, dplyr, doParallel, foreach, igraph, compiler, stats, parallel, grid, ggplot2, gridExtra, intergraph, GGally, network
Published: 2020-10-20
Author: Han Yu, Mingmei Tian
Maintainer: Mingmei Tian <mingmeit at buffalo.edu>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: bootcluster results

Downloads:

Reference manual: bootcluster.pdf
Package source: bootcluster_0.2.0.tar.gz
Windows binaries: r-devel: bootcluster_0.1.0.zip, r-release: bootcluster_0.1.0.zip, r-oldrel: bootcluster_0.1.0.zip
macOS binaries: r-release: bootcluster_0.1.0.tgz, r-oldrel: bootcluster_0.1.0.tgz
Old sources: bootcluster archive

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