A supervised compression method that incorporates the response for reducing big data to a carefully selected subset. Please see Joseph and Mak (2021) <doi:10.1002/sam.11508>. This research is supported by a U.S. National Science Foundation (NSF) grant CMMI-1921646.
| Version: | 1.1 |
| Imports: | FNN, stats |
| Published: | 2022-01-14 |
| DOI: | 10.32614/CRAN.package.supercompress |
| Author: | Chaofan Huang [aut, cre], V. Roshan Joseph [aut] |
| Maintainer: | Chaofan Huang <chaofan.huang at gatech.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | supercompress results |
| Reference manual: | supercompress.html , supercompress.pdf |
| Package source: | supercompress_1.1.tar.gz |
| Windows binaries: | r-devel: supercompress_1.1.zip, r-release: supercompress_1.1.zip, r-oldrel: supercompress_1.1.zip |
| macOS binaries: | r-release (arm64): supercompress_1.1.tgz, r-oldrel (arm64): supercompress_1.1.tgz, r-release (x86_64): supercompress_1.1.tgz, r-oldrel (x86_64): supercompress_1.1.tgz |
| Old sources: | supercompress archive |
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