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
Roxygen: list(markdown = TRUE)
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
Config/pak/sysreqs: libssl-dev
Repository: https://emitanaka.r-universe.dev
Date/Publication: 2025-04-08 22:57:41 UTC
RemoteUrl: https://github.com/anuopensci/emend
RemoteRef: HEAD
RemoteSha: da5e0abac80d3da209088b98547605d539fb6742
NeedsCompilation: no
Packaged: 2026-07-05 08:33:48 UTC; root
Author: Emi Tanaka [aut, cph] (ORCID: <https://orcid.org/0000-0002-1455-259X>),
  Jiajia Li [aut, cre] (ORCID: <https://orcid.org/0009-0003-7143-9336>)
Maintainer: Jiajia Li <lijia970324@gmail.com>