"https://github.com/plannapus"), person("The R Core Team", role = "ctb",
Enhances: ggdendro, labeltodendro,dendroextras, data.table, ape
The R Core Team [ctb] (Thanks for the Infastructure, and code in the

Title: Extending R's Dendrogram Functionality
"de Vries", email = "apdevries@gmail.com", comment =
Description: Offers a set of functions for extending
Suggests: dendextendRcpp (>= 0.5.0), knitr, testthat, colorspace,
ggplot2, plyr, ape, profdpm, microbenchmark, gplots, DendSer,
Andrie de Vries [ctb] (ggdendro author),

ggplot2, plyr, ape, profdpm, microbenchmark, gplots, d3heatmap,
dynamicTreeCut, pvclust, corrplot, DendSer, MASS, cluster, covr
Enhances: ggdendro, labeltodendro,dendroextras, data.table, rpart

"Gu", email = "z.gu@dkfz-heidelberg.de", comment =
hierarchical clusterings. You can (1) Adjust a tree's graphical parameters
ggplot2, plyr, ape, profdpm, microbenchmark, gplots, NMF,
d3heatmap, dynamicTreeCut, pvclust, corrplot, DendSer, MASS,

= c("aut", "ctb"), email = "jefferis@gmail.com",
Suggests: dendextendRcpp (>= 0.5.0), knitr, rmarkdown, testthat,
colorspace, ggplot2, plyr, ape, profdpm, microbenchmark,
gplots, NMF, d3heatmap, dynamicTreeCut, pvclust, corrplot,
DendSer, MASS, cluster, circlize (>= 0.2.5), covr
Gregory Jefferis [aut, ctb] (imported code from his dendroextras

Title: Extending 'dendrogram' Functionality in R
person("Yoav", "Benjamini", email = "ybenja@tau.ac.il",role = "ths"),
"https://github.com/CathG", role = "ctb"), person("John",
"https://github.com/JohnMCMa", role = "ctb"), person("Krzysiek",
"https://github.com/storaged", role = "ctb"), person("Manuela",
"Hummel", email = "m.hummel@dkfz.de", comment =
person("Ben", "Ho", role = "ctb", email = "ben.ho@sickkids.ca", comment = "https://github.com/SplitInf"))
'dendrogram' objects in R, letting you visualize and compare trees of
'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters
Visually and statistically compare different 'dendrograms' to one another.
Imports: utils, stats, datasets, magrittr (>= 1.0.1), ggplot2, fpc,
Suggests: knitr, rmarkdown, testthat, seriation, colorspace, plyr, ape,
profdpm, microbenchmark, gplots, heatmaply, d3heatmap,
dynamicTreeCut, pvclust, corrplot, DendSer, MASS, cluster,
Enhances: ggdendro, dendroextras, Hmisc, data.table, rpart
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com),