A bridge is created between existing robust open-source record linkage algorithms and an urgently needed user-friendly platform that removes financial and technical barriers, setting a new standard for data interoperability in public health and bioinformatics. The 'fastLink' algorithms are used for matching. Ted Enamorado et al. (2019) <doi:10.1017/S0003055418000783>.
Version: 0.2.2 Imports: config (≥ 0.3.1), DT (≥ 0.25), fastLink, gender, ggplot2, ggvenn, golem (≥ 0.3.5), haven, htmlwidgets, jsonlite, lubridate, magrittr, readxl, shiny (≥ 1.7.2), shinydashboard, shinydashboardPlus, shinyWidgets, tidyr, tidyselect, vroom Suggests: dplyr, knitr, purrr, rmarkdown, spelling, testthat (≥ 3.0.0) Published: 2023-01-18 DOI: 10.32614/CRAN.package.ShinyLink Author: Shufu Chen [aut], John Tyburski [aut], Yaoxiang Li [aut, cre], Amrita Cheema [aut] Maintainer: Yaoxiang Li <liyaoxiang at outlook.com> License: GPL-3 NeedsCompilation: no SystemRequirements: C++11 Language: en-US Materials: README NEWS CRAN checks: ShinyLink results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ShinyLink to link to this page.
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