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Provides tools to analyze vaccine coverage data and simulate potential disease outbreak scenarios. It allows users to calculate key epidemiological metrics such as the effective reproduction number (Re), outbreak probabilities, and expected infection counts based on county-level vaccination rates, disease characteristics, and vaccine effectiveness. The package includes historical kindergarten vaccination data for Florida counties and offers functions for generating summary tables, visualizations, and exporting the underlying plot data.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5) |
| Imports: | dplyr, tidyr, ggplot2, scales, purrr, tibble, openxlsx |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-09-15 |
| Author: | Peiyu Liu [aut, cre], Matt Hitchings [ctb], Ira Longini [ctb] |
| Maintainer: | Peiyu Liu <pyliu0620 at outlook.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | vaxineR results |
| Reference manual: | vaxineR.html , vaxineR.pdf |
| Vignettes: |
Using vaxineR for Outbreak Risk Analysis (source, R code) |
| Package source: | vaxineR_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): vaxineR_0.1.0.tgz, r-oldrel (arm64): vaxineR_0.1.0.tgz, r-release (x86_64): vaxineR_0.1.0.tgz, r-oldrel (x86_64): vaxineR_0.1.0.tgz |
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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.
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