Robust Probabilistic Matching of Company Names R package firmmatchr version 0.2.0 A pipeline for matching messy company name strings against a clean dictionary (e.g., 'Orbis'). Implements a cascading strategy: Exact -> Fuzzy ('zoomerjoin') -> 'FTS5' ('SQLite') -> Rarity Weighted. Name normalization covers German, French, Italian and English legal forms and conventions, which suits multilingual registers such as the Swiss one. Normalization discards detail, so several dictionary entries can collapse onto one string; these groups are matched once and a crosswalk back to every original entry is retained. References: Beniamino Green (2025) <https://github.com/beniaminogreen/zoomerjoin>; <https://www.sqlite.org/fts5.html>. Software Depends: R (>= 4.1.0) Imports: data.table, stringi, stringdist, zoomerjoin, DBI, RSQLite, cli, progressr, httr, jsonlite, glue, purrr, readr, dplyr, stats Suggests: testthat (>= 3.0.0) Giulian Etingin-Frati <etingin-frati@kof.ethz.ch> Comprehensive R Archive Network (CRAN) Giulian Etingin-Frati [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=firmmatchr/LICENSE) 2026-07-28 application/tgz https://CRAN.R-project.org/package=firmmatchr doi:10.32614/CRAN.package.firmmatchr