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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>.
| Version: | 0.3.2 |
| Depends: | R (≥ 3.5.1) |
| Imports: | cluster, mclust, flexclust, fpc, plyr, dplyr, doParallel, foreach, igraph, compiler, stats, parallel, grid, ggplot2, gridExtra, intergraph, GGally, network, sna |
| Published: | 2022-01-29 |
| Author: | Han Yu [aut], Mingmei Tian [aut], Tianmou Liu [aut, cre] |
| Maintainer: | Tianmou Liu <tianmoul at buffalo.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | bootcluster results |
| Reference manual: | bootcluster.pdf |
| Package source: | bootcluster_0.3.2.tar.gz |
| Windows binaries: | r-devel: bootcluster_0.3.2.zip, r-release: bootcluster_0.3.2.zip, r-oldrel: bootcluster_0.3.2.zip |
| macOS binaries: | r-release (arm64): bootcluster_0.3.2.tgz, r-oldrel (arm64): bootcluster_0.3.2.tgz, r-release (x86_64): bootcluster_0.3.2.tgz, r-oldrel (x86_64): bootcluster_0.3.2.tgz |
| Old sources: | bootcluster archive |
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