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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) <doi:10.35566/isdsa2019c8>.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | tensorA |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2024-01-12 |
| DOI: | 10.32614/CRAN.package.VBTree |
| Author: | Chen Zhang [aut, cre, cph] (0009-0007-7689-5030) |
| Maintainer: | Chen Zhang <chen.zhang_06sept at foxmail.com> |
| BugReports: | https://github.com/CubicZebra/VBTree/issues |
| License: | GPL-3 |
| URL: | https://github.com/CubicZebra/VBTree |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | VBTree results |
| Reference manual: | VBTree.pdf |
| Vignettes: |
intro |
| Package source: | VBTree_0.1.1.tar.gz |
| Windows binaries: | r-devel: VBTree_0.1.1.zip, r-release: VBTree_0.1.1.zip, r-oldrel: VBTree_0.1.1.zip |
| macOS binaries: | r-release (arm64): VBTree_0.1.1.tgz, r-oldrel (arm64): VBTree_0.1.1.tgz, r-release (x86_64): VBTree_0.1.1.tgz, r-oldrel (x86_64): VBTree_0.1.1.tgz |
| Old sources: | VBTree archive |
| Reverse imports: | TPMplt |
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