zoomerjoin: Superlatively Fast Fuzzy Joins

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.

Version: 0.1.4
Depends: R (≥ 2.10)
Imports: dplyr, tibble, tidyr
Suggests: babynames, covr, fuzzyjoin, igraph, knitr, rmarkdown, stringdist, testthat (≥ 3.0.0), tidyverse, purrr, microbenchmark, profmem
Published: 2024-01-31
Author: Beniamino Green [aut, cre, cph], Etienne Bacher [ctb], The authors of the dependency Rust crates [ctb, cph] (see inst/AUTHORS file for details)
zoomerjoin author details
Maintainer: Beniamino Green <beniamino.green at yale.edu>
BugReports: https://github.com/beniaminogreen/zoomerjoin/issues/
License: GPL (≥ 3)
URL: https://beniamino.org/zoomerjoin/
NeedsCompilation: yes
SystemRequirements: Cargo (>= 1.56) (Rust's package manager), rustc
Materials: README NEWS
CRAN checks: zoomerjoin results

Documentation:

Reference manual: zoomerjoin.pdf
Vignettes: benchmarks
A Zoomerjoin Guided Tour
matching_vectors

Downloads:

Package source: zoomerjoin_0.1.4.tar.gz
Windows binaries: r-devel: zoomerjoin_0.1.4.zip, r-release: zoomerjoin_0.1.4.zip, r-oldrel: zoomerjoin_0.1.4.zip
macOS binaries: r-release (arm64): zoomerjoin_0.1.4.tgz, r-oldrel (arm64): zoomerjoin_0.1.4.tgz, r-release (x86_64): zoomerjoin_0.1.4.tgz

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