Package: spell.replacer
Title: Probabilistic Spelling Correction in a Character Vector
Version: 1.0.1
Authors@R: 
    person(given = "David",
           family = "Brown",
           role = c("aut", "cre"),
           email = "dwb2@andrew.cmu.edu",
           comment = c(ORCID = "0000-0001-7745-6354"))
Description: Automatically replaces "misspelled" words in a character vector
    based on their string distance from a list of words sorted by their frequency
    in a corpus. The default word list provided in the package comes from 
    the Corpus of Contemporary American English. Uses the Jaro-Winkler distance
    metric for string similarity as implemented in van der Loo (2014) 
    <doi:10.32614/RJ-2014-011>. The word frequency data is derived from 
    Davies (2008-) "The Corpus of Contemporary American English (COCA)" 
    <https://www.english-corpora.org/coca/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Depends: R (>= 2.10)
Imports: hunspell, stringr, stringdist, textclean
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-08-29 19:11:59 UTC; runner
Author: David Brown [aut, cre] (ORCID: <https://orcid.org/0000-0001-7745-6354>)
Maintainer: David Brown <dwb2@andrew.cmu.edu>
Repository: CRAN
Date/Publication: 2025-09-03 21:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:59:56 UTC; unix
