Package: emend 0.1.0

Jiajia Li

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.

Authors:Emi Tanaka [aut, cph], Jiajia Li [aut, cre]

emend_0.1.0.tar.gz
emend_0.1.0.zip(r-4.7)emend_0.1.0.zip(r-4.6)emend_0.1.0.zip(r-4.5)
emend_0.1.0.tgz(r-4.6-any)emend_0.1.0.tgz(r-4.5-any)
emend_0.1.0.tar.gz(r-4.7-any)emend_0.1.0.tar.gz(r-4.6-any)
emend_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
emend/json (API)

# Install 'emend' in R:
install.packages('emend', repos = c('https://emitanaka.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/anuopensci/emend/issues

Pkgdown/docs site:https://anuopensci.github.io

Datasets:

On CRAN:

Conda:

2.93 score 17 stars 3 scripts 38 downloads 9 exports 27 dependencies

Last updated from:da5e0abac8. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK160
linux-release-x86_64OK130
macos-release-arm64OK89
macos-oldrel-arm64OK104
windows-develOK79
windows-releaseOK80
windows-oldrelOK70
wasm-releaseOK141

Exports:emend_clean_addressemend_clean_dateemend_fct_matchemend_fct_reorderemend_lvl_matchemend_lvl_uniqueemend_translateemend_what_languageget_default_chat

Dependencies:askpassclicorocurlellmerfastmapgluehttr2jsonlitelaterlifecyclemagrittropensslotelpillarpkgconfigpromisesR6rappdirsRcpprlangS7systibbleutf8vctrswithr