data.tree: General Purpose Hierarchical Data Structure

Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.

Version: 0.7.5
Depends: R (≥ 3.0)
Imports: R6, stringr, methods, DiagrammeR
Suggests: Formula, graphics, testthat, knitr, rmarkdown, ape, yaml, networkD3, jsonlite, igraph, treemap, party, partykit, doParallel, foreach, htmlwidgets
Published: 2018-03-06
Author: Facundo Munoz [ctb] (improve list conversion), Markus Wamser [ctb] (fixed some typos), Pierre Formont [ctb] (additional features), Kent Russel [ctb] (documentation), Noam Ross [ctb] (fixes), Duncan Garmonsway [ctb] (fixes), Christoph Glur [aut, cre] (R interface)
Maintainer: Christoph Glur <christoph.glur at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: data.tree results


Reference manual: data.tree.pdf
Vignettes: Example applications of data.tre
Quick introduction to data.tree
Package source: data.tree_0.7.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: data.tree_0.7.5.tgz
OS X Mavericks binaries: r-oldrel: data.tree_0.7.4.tgz
Old sources: data.tree archive

Reverse dependencies:

Reverse depends: triversity
Reverse imports: ahp, Cluster.OBeu, collapsibleTree, hR, hypoparsr, nonlinearICP, prof.tree, qlcData, radiant.model, rENA, SACCR, stoRy, userfriendlyscience
Reverse suggests: Rodam, styler, tidygraph


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