data.tree: General Purpose Hierarchical Data Structure

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

Version: 0.2.4
Depends: R (≥ 3.0)
Imports: R6, stringr, methods
Suggests: graphics, testthat, knitr, ape, networkD3, yaml, jsonlite, DiagrammeR, igraph, treemap, doParallel, foreach, htmlwidgets
Published: 2015-10-24
Author: Christoph Glur
Maintainer: Christoph Glur <christoph.glur at ipub.com>
BugReports: http://github.com/gluc/data.tree/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://github.com/gluc/data.tree
NeedsCompilation: no
Materials: README NEWS
CRAN checks: data.tree results

Downloads:

Reference manual: data.tree.pdf
Vignettes: Example applications of data.tre
Quick introduction to data.tree
Package source: data.tree_0.2.4.tar.gz
Windows binaries: r-devel: data.tree_0.2.4.zip, r-release: data.tree_0.2.4.zip, r-oldrel: data.tree_0.2.4.zip
OS X Snow Leopard binaries: r-release: data.tree_0.2.4.tgz, r-oldrel: data.tree_0.1.6.tgz
OS X Mavericks binaries: r-release: data.tree_0.2.4.tgz
Old sources: data.tree archive