dendextend: Extending 'dendrogram' Functionality in R

Offers a set of functions for extending 'dendrogram' objects in R, letting you visualize and compare trees of 'hierarchical clusterings'. You can (1) Adjust a tree's graphical parameters - the color, size, type, etc of its branches, nodes and labels. (2) Visually and statistically compare different 'dendrograms' to one another.

Version: 1.17.1
Depends: R (≥ 3.0.0)
Imports: utils, stats, datasets, magrittr (≥ 1.0.1), ggplot2, viridis
Suggests: knitr, rmarkdown, testthat, seriation, colorspace, ape, microbenchmark, gplots, heatmaply, dynamicTreeCut, pvclust, corrplot, DendSer, MASS, cluster, fpc, circlize (≥ 0.2.5), covr
Enhances: ggdendro, dendroextras, Hmisc, data.table, rpart, WGCNA, moduleColor, distory, phangorn, zoo
Published: 2023-03-25
Author: Tal Galili [aut, cre, cph] (https://www.r-statistics.com), Yoav Benjamini [ths], Gavin Simpson [ctb], Gregory Jefferis [aut, ctb] (imported code from his dendroextras package), Marco Gallotta [ctb] (a.k.a: marcog), Johan Renaudie [ctb] (https://github.com/plannapus), The R Core Team [ctb] (Thanks for the Infastructure, and code in the examples), Kurt Hornik [ctb], Uwe Ligges [ctb], Andrej-Nikolai Spiess [ctb], Steve Horvath [ctb], Peter Langfelder [ctb], skullkey [ctb], Mark Van Der Loo [ctb] (https://github.com/markvanderloo d3dendrogram), Andrie de Vries [ctb] (ggdendro author), Zuguang Gu [ctb] (circlize author), Cath [ctb] (https://github.com/CathG), John Ma [ctb] (https://github.com/JohnMCMa), Krzysiek G [ctb] (https://github.com/storaged), Manuela Hummel [ctb] (https://github.com/hummelma), Chase Clark [ctb] (https://github.com/chasemc), Lucas Graybuck [ctb] (https://github.com/hypercompetent), jdetribol [ctb] (https://github.com/jdetribol), Ben Ho [ctb] (https://github.com/SplitInf), Samuel Perreault [ctb] (https://github.com/samperochkin), Christian Hennig [ctb] (http://www.homepages.ucl.ac.uk/~ucakche/), David Bradley [ctb] (https://github.com/DBradley27), Houyun Huang [ctb] (https://github.com/houyunhuang), Patrick Schupp [ctb] (https://github.com/pschupp)
Maintainer: Tal Galili <tal.galili at gmail.com>
BugReports: https://github.com/talgalili/dendextend/issues
License: GPL-2 | GPL-3
URL: http://talgalili.github.io/dendextend/, https://github.com/talgalili/dendextend/, https://cran.r-project.org/package=dendextend, https://www.r-statistics.com/tag/dendextend/, https://academic.oup.com/bioinformatics/article/31/22/3718/240978/dendextend-an-R-package-for-visualizing-adjusting
NeedsCompilation: no
Citation: dendextend citation info
Materials: README NEWS ChangeLog
In views: Cluster, Phylogenetics
CRAN checks: dendextend results

Documentation:

Reference manual: dendextend.pdf
Vignettes: Hierarchical cluster analysis on famous data sets - enhanced with the _dendextend_ package
Frequently asked questions
A quick introduction to dendextend (start here)
Introduction to dendextend

Downloads:

Package source: dendextend_1.17.1.tar.gz
Windows binaries: r-devel: dendextend_1.17.1.zip, r-release: dendextend_1.17.1.zip, r-oldrel: dendextend_1.17.1.zip
macOS binaries: r-release (arm64): dendextend_1.17.1.tgz, r-oldrel (arm64): dendextend_1.17.1.tgz, r-release (x86_64): dendextend_1.17.1.tgz
Old sources: dendextend archive

Reverse dependencies:

Reverse depends: DeMixT, EnsCat, PdPDB, uclust
Reverse imports: adjclust, BasketballAnalyzeR, BiBitR, CALANGO, CellTrails, ChAMP, CHETAH, CINNA, Cluster.OBeu, conos, consensusDE, COTAN, DAPAR, DEGreport, ecan, EGAnet, elaborator, factoextra, GaMaBioMD, GeneTonic, GlobalAncova, GOpro, GSEAmining, GSNA, HCD, heatmaply, hfr, HGC, ILoReg, InterCellar, kanjistat, ldaPrototype, mappoly, Mercator, metaprotr, mFD, Momocs, multiClust, numbat, onemap, pagoo, PhosR, pRoloc, rabhit, rainette, rSAFE, SISIR, tidyHeatmap, tsibbletalk, ViSEAGO, visxhclust, YAPSA
Reverse suggests: AntMAN, celltrackR, circlize, ClustAssess, cola, ComplexHeatmap, DatabionicSwarm, dbscan, FCPS, HMP16SData, IncDTW, isocat, kmer, MAGeCKFlute, mdendro, packFinder, pergola, phylogram, plotly, ProjectionBasedClustering, protti, rare, sarp.snowprofile.alignment, scGPS, segregation, seriation, sharpshootR, sits, spatialHeatmap, spiralize, TreeAndLeaf, variancePartition

Linking:

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