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: | 0.5.5 |
| Imports: | config (≥ 0.3.1),DT (≥ 0.25),dplyr,fastLink,golem (≥0.3.5),htmlwidgets,jsonlite,magrittr,shiny (≥ 1.7.2),shinydashboard,shinydashboardPlus (≥ 2.0.3),shinyWidgets,tidyr,tidyselect,tibble |
| Suggests: | pkgload,knitr,purrr,rmarkdown,spelling,testthat (≥3.0.0),ggplot2,ggvenn,ggpubr,scales,haven,readxl,vroom,gender,lubridate,shinybusy,waiter,shinyjs,zip |
| Published: | 2025-12-16 |
| DOI: | 10.32614/CRAN.package.ShinyLink |
| Author: | Yaoxiang Li [aut, cre], Shufu Chen [aut], John Tyburski [aut], Amrita Cheema [aut] |
| Maintainer: | Yaoxiang Li <liyaoxiang at outlook.com> |
| BugReports: | https://github.com/cdc-addm/ShinyLink/issues/ |
| License: | GPL-3 |
| URL: | https://shinylink.org/,https://github.com/cdc-addm/ShinyLink/ |
| NeedsCompilation: | no |
| SystemRequirements: | C++11 |
| Language: | en-US |
| Materials: | README,NEWS |
| CRAN checks: | ShinyLink results |