Package: emend
Title: Cleaning Text Data with an AI Assistant
Version: 0.1.0
Authors@R: 
    c(person(given = "Emi", family = "Tanaka", email = "dr.emi.tanaka@gmail.com", role = c("aut", "cph"), comment = c(ORCID = "0000-0002-1455-259X")),
      person(given = "Jiajia", family = "Li", email = "lijia970324@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0009-0003-7143-9336")))
Description: 
    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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: cli, jsonlite, rlang, ellmer
Depends: R (>= 4.1.0)
LazyData: true
Suggests: rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/anuopensci/emend,
        https://anuopensci.github.io/emend/
BugReports: https://github.com/anuopensci/emend/issues
NeedsCompilation: no
Packaged: 2025-03-31 00:07:48 UTC; u1133824
Author: Emi Tanaka [aut, cph] (<https://orcid.org/0000-0002-1455-259X>),
  Jiajia Li [aut, cre] (<https://orcid.org/0009-0003-7143-9336>)
Maintainer: Jiajia Li <lijia970324@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-01 16:20:02 UTC
Built: R 4.3.3; ; 2025-04-07 02:16:15 UTC; windows
