Package: blocking
Type: Package
Title: Various Blocking Methods for Entity Resolution
Version: 1.0.2
Authors@R: 
  c(person(given = "Maciej",
             family = "Beręsewicz",
             role = c("aut", "cre"),
             email = "maciej.beresewicz@ue.poznan.pl",
             comment = c(ORCID = "0000-0002-8281-4301")),
   person(given = "Adam",
             family = "Struzik",
             role = c("aut", "ctr"),
             email = "adastr5@st.amu.edu.pl"))
Description: The goal of 'blocking' is to provide blocking methods for record linkage and deduplication using approximate nearest neighbour (ANN) algorithms and graph techniques. It supports multiple ANN implementations via 'rnndescent', 'RcppHNSW', 'RcppAnnoy', and 'mlpack' packages, and provides integration with the 'reclin2' package. The package generates shingles from character strings and similarity vectors for record comparison, and includes evaluation metrics for assessing blocking performance including false positive rate (FPR) and false negative rate (FNR) estimates. For details see: Papadakis et al. (2020) <doi:10.1145/3377455>, Steorts et al. (2014) <doi:10.1007/978-3-319-11257-2_20>, Dasylva and Goussanou (2021) <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202100200002>, Dasylva and Goussanou (2022) <doi:10.1007/s42081-022-00153-3>.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/ncn-foreigners/blocking,
        https://ncn-foreigners.ue.poznan.pl/blocking/
BugReports: https://github.com/ncn-foreigners/blocking/issues
RoxygenNote: 7.3.3
Imports: text2vec, tokenizers, RcppHNSW, RcppAnnoy, mlpack, rnndescent,
        igraph, data.table, methods, readr, utils, Matrix
Suggests: tinytest, knitr, rmarkdown, reclin2
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-03-11 09:02:15 UTC; adamstruzik
Author: Maciej Beręsewicz [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8281-4301>),
  Adam Struzik [aut, ctr]
Maintainer: Maciej Beręsewicz <maciej.beresewicz@ue.poznan.pl>
Repository: CRAN
Date/Publication: 2026-03-11 12:40:02 UTC
Built: R 4.5.3; ; 2026-06-04 21:22:57 UTC; windows
