DESCRIPTION

Package: bloomjoin
Title: Efficient Data Frame Joins Using Bloom Filters
Version: 1.0.0
Authors@R: person("Gaurav Sood", email = "gsood07@gmail.com", role = c("aut", "cre"))
Author: Gaurav Sood [aut, cre]
Maintainer: Gaurav Sood <gsood07@gmail.com>
Description: Provides high-performance join operations for large data frames using
    Bloom filters to reduce memory usage and improve performance. The package is
    particularly effective when joining a large data frame with a smaller lookup table,
    and when many keys in the larger data frame don't have matches. Features include
    optimized C++ implementation, intelligent join strategy selection, comprehensive
    NA handling, and support for all standard join types.
URL: https://gojiplus.github.io/bloomjoin/, https://github.com/gojiplus/bloomjoin
BugReports: https://github.com/gojiplus/bloomjoin/issues
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Imports: 
    dplyr,
    Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests:
    testthat (>= 3.0.0),
    tibble,
    bit64,
    rmarkdown,
    knitr (>= 1.11),
    microbenchmark,
    bench,
    ggplot2,
    waldo
Config/testthat/edition: 3
VignetteBuilder: knitr