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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "VBTree" in publications use:'
type: software
license: GPL-3.0-only
title: 'VBTree: Vector Binary Tree to Make Your Data Management More Efficient'
version: 0.1.1
doi: 10.32614/CRAN.package.VBTree
abstract: Vector binary tree provides a new data structure, to make your data visiting
  and management more efficient. If the data has structured column names, it can read
  these names and factorize them through specific split pattern, then build the mappings
  within double list, vector binary tree, array and tensor mutually, through which
  the batched data processing is achievable easily. The methods of array and tensor
  are also applicable. Detailed methods are described in Chen Zhang et al. (2020)
  <https://doi.org/10.35566/isdsa2019c8>.
authors:
- name: Chen Zhang
  email: chen.zhang_06sept@foxmail.com
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/CubicZebra/VBTree
commit: dccdb9261ab4bafebdbd876d8ba628b469529a24
url: https://github.com/CubicZebra/VBTree
date-released: '2024-01-09'
contact:
- name: Chen Zhang
  email: chen.zhang_06sept@foxmail.com