The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

starling: Record Linkage for Public Health Surveillance

Record linkage for public health surveillance datasets using either the Fellegi-Sunter probabilistic framework (via reclin2) or deterministic exact-key matching. Provides pre-linkage data quality auditing (preflight()), Medicare number checksum validation (check_medicare()), blocking variable construction (flock()), and the murmuration() linkage engine. murmuration() expresses linkage as a single cohort-to-event concept (linking a linelist of people to a dated stream of vaccination, hospitalisation, or case events within a before/during/after time window), with the historical four-code taxonomy (case-to-hospitalisation, vaccination-to-case, vaccination-to-hospitalisation, vaccination-to-event) retained as deprecated aliases. Also provides linkage weight distribution visualisation (murmuration_plot()) and threshold sensitivity analysis (perch()) with annotated AIHW, WA Data Linkage Unit, and PHRN reference benchmarks. perch() can be called standalone or triggered automatically mid-linkage via murmuration(perch_before_linking = TRUE). Includes synthetic datasets (cases_notifiable, vax_air) and three vignettes demonstrating the complete linkage workflow. Part of the aviary public health surveillance ecosystem.

Version: 1.1.0
Depends: R (≥ 4.1)
Imports: reclin2, dplyr, stringr, lubridate, rlang, ggplot2
Suggests: patchwork, plotly, phonics, mudnester, testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-07-10
DOI: 10.32614/CRAN.package.starling
Author: Nicolas Smoll ORCID iD [aut, cre]
Maintainer: Nicolas Smoll <nicolas.smoll at health.qld.gov.au>
BugReports: https://github.com/nrsmoll/starling/issues
License: MIT + file LICENSE
URL: https://github.com/nrsmoll/starling
NeedsCompilation: no
CRAN checks: starling results

Documentation:

Reference manual: starling.html , starling.pdf
Vignettes: Linked Cohort Analysis (source, R code)
Pre-Linkage Data Quality (source, R code)
Threshold Selection with perch() (source, R code)

Downloads:

Package source: starling_1.1.0.tar.gz
Windows binaries: r-devel: starling_1.1.0.zip, r-release: starling_1.1.0.zip, r-oldrel: starling_1.1.0.zip
macOS binaries: r-release (arm64): starling_1.1.0.tgz, r-oldrel (arm64): starling_1.1.0.tgz, r-release (x86_64): starling_1.1.0.tgz, r-oldrel (x86_64): starling_1.1.0.tgz
Old sources: starling archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=starling to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.