Package: zoomerjoin
Title: Superlatively Fast Fuzzy Joins
Version: 0.2.0
Authors@R: c(
    person("Beniamino", "Green", , "beniamino.green@yale.edu", role = c("aut", "cre", "cph")),
    person("Etienne", "Bacher", email = "etienne.bacher@protonmail.com", role = "ctb",
           comment = c(ORCID = "0000-0002-9271-5075")),
    person(given = "The authors of the dependency Rust crates",
             role = c("ctb", "cph"),
             comment = "see inst/AUTHORS file for details")
    )
Description: Empowers users to fuzzily-merge data frames with millions or tens of millions of rows in minutes with low memory usage.  The package uses the locality sensitive hashing algorithms developed by Datar, Immorlica, Indyk and Mirrokni (2004) <doi:10.1145/997817.997857>, and Broder (1998) <doi:10.1109/SEQUEN.1997.666900> to avoid having to compare every pair of records in each dataset, resulting in fuzzy-merges that finish in linear time.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
SystemRequirements: Cargo (>= 1.56) (Rust's package manager), rustc (>=
        1.70)
Imports: collapse, dplyr, tibble, tidyr
Suggests: babynames, covr, fuzzyjoin, igraph, knitr, microbenchmark,
        profmem, purrr, rmarkdown, stringdist, testthat (>= 3.0.0),
        tidyverse, vdiffr
Config/testthat/edition: 3
URL: https://beniamino.org/zoomerjoin/,
        https://github.com/beniaminogreen/zoomerjoin
BugReports: https://github.com/beniaminogreen/zoomerjoin/issues
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
LazyDataCompression: xz
Config/rextendr/version: 0.3.1.9000
NeedsCompilation: yes
Packaged: 2024-09-24 00:16:22 UTC; beniamino
Author: Beniamino Green [aut, cre, cph],
  Etienne Bacher [ctb] (<https://orcid.org/0000-0002-9271-5075>),
  The authors of the dependency Rust crates [ctb, cph] (see inst/AUTHORS
    file for details)
Maintainer: Beniamino Green <beniamino.green@yale.edu>
Repository: CRAN
Date/Publication: 2024-09-24 04:10:03 UTC
Built: R 4.3.3; x86_64-w64-mingw32; 2025-04-07 02:51:56 UTC; windows
Archs: x64
