erhcv

Equi-Rank Hierarchical Clustering Validation

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>.

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Description file content

Package
erhcv
Type
Package
Title
Equi-Rank Hierarchical Clustering Validation
Version
0.1.2
License
GPL (>= 2)
Author
Simon-Pierre Gadoury
Maintainer
Simon-Pierre Gadoury
Description
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) .
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
Depends
R (>= 3.5.0)
Suggests
HAC, knitr, rmarkdown
Imports
igraph, stringr, stringi, utils, Rdpack
RdMacros
Rdpack
Collate
'VerifyTree.R' 'ClusterNodeSelection.R' 'EliminateCluster.R' 'GetLeaves.R' 'GetPairs.R' 'hclust2tree.R' 'tree2plot.R'
NeedsCompilation
no
Packaged
2018-06-11 01:01:31 UTC; Simon-Pierre
Repository
CRAN
Date/Publication
2018-06-12 10:34:01 UTC

install.packages('erhcv')

0.1.2

8 days ago

Simon-Pierre Gadoury

GPL (>= 2)

Depends on

R (>= 3.5.0)

Imports

igraph, stringr, stringi, utils, Rdpack

Suggests

HAC, knitr, rmarkdown

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