Assesses the statistical significance of clusters for a given dataset through bootstrapping and hypothesis testing of a given matrix of empirical Spearman's rho, based on the technique of S. Gaiser et al. (2010) <doi:10.1016/j.jmva.2010.07.008>.
| Version: | 0.1.4 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stringr, stringi, utils, Rdpack, data.tree |
| Suggests: | HAC, knitr, rmarkdown, nCopula |
| Published: | 2018-12-10 |
| Author: | Simon-Pierre Gadoury |
| Maintainer: | Simon-Pierre Gadoury <spgadou at me.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | erhcv results |
| Reference manual: | erhcv.pdf |
| Package source: | erhcv_0.1.4.tar.gz |
| Windows binaries: | r-devel: erhcv_0.1.4.zip, r-release: erhcv_0.1.4.zip, r-oldrel: not available |
| OS X binaries: | r-release: erhcv_0.1.4.tgz, r-oldrel: not available |
| Old sources: | erhcv archive |
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