emend: Cleaning Text Data with an AI Assistant
Provides functions to clean and standardize messy data, including textual categories and free-text addresses, using Large Language Models. The package corrects typos, expands abbreviations, and maps inconsistent entries to standardized values. Ideal for Bioinformatics, business, and general data cleaning tasks.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cli, jsonlite, rlang, ellmer |
| Suggests: | rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-04-01 |
| DOI: | 10.32614/CRAN.package.emend |
| Author: | Emi Tanaka  [aut,
cph],
Jiajia Li [aut,
cre] |
| Maintainer: | Jiajia Li <lijia970324 at gmail.com> |
| BugReports: | https://github.com/anuopensci/emend/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/anuopensci/emend, https://anuopensci.github.io/emend/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | emend results |
Documentation:
| Reference manual: | emend.pdf |
Downloads:
| Package source: | emend_0.1.0.tar.gz |
| Windows binaries: | r-devel: emend_0.1.0.zip, r-release: emend_0.1.0.zip, r-oldrel: emend_0.1.0.zip |
| macOS binaries: | r-release (arm64): emend_0.1.0.tgz, r-oldrel (arm64): emend_0.1.0.tgz, r-release (x86_64): emend_0.1.0.tgz, r-oldrel (x86_64): emend_0.1.0.tgz |
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