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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 ORCID iD [aut, cph], Jiajia Li ORCID iD [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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=emend to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.