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