Suggests: chron, ggplot2, plyr, reshape, testthat (>= 0.4), hexbin

Description: Enhanced data.frame. Fast indexing, fast ordered joins, fast assignment, fast grouping and list columns in a short and flexible syntax. i and j may be expressions of column names directly, for faster development.  Example: X[Y] is a fast join for large data.

Suggests: chron, ggplot2 (>= 0.9.0), plyr, reshape, testthat (>= 0.4),

Author: M Dowle, T Short, S Lianoglou with contributions from A Srinivasan, R Saporta
Description: Enhanced data.frame. Fast indexing, fast ordered joins, fast assignment by reference, fast grouping and list columns in a short and flexible syntax. i and j may be expressions of column names directly, for faster development.  Example: X[Y] is a fast join for large data.

Author: M Dowle, T Short, S Lianoglou, A Srinivasan with contributions from R Saporta, E Antonyan
Description: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.

Suggests: ggplot2 (>= 0.9.0), plyr, reshape, testthat (>= 0.4), hexbin,

Author: M Dowle, A Srinivasan, T Short, S Lianoglou with contributions from R Saporta, E Antonyan
Suggests: ggplot2 (>= 0.9.0), plyr, reshape, reshape2, testthat (>=
0.4), hexbin, fastmatch, nlme, xts, bit64, gdata,
GenomicRanges, caret, knitr, curl, zoo, plm

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

Title: General Purpose Hierarchical Data Structure
Suggests: testthat, knitr, ape, networkD3, yaml, jsonlite, DiagrammeR,
igraph, treemap, curl, doParallel, foreach, htmlwidgets
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.