vaxineR: Vaccine Coverage and Outbreak Risk Analysis

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

Documentation:

Reference manual:	vaxineR.html , vaxineR.pdf
Vignettes:	Using vaxineR for Outbreak Risk Analysis (source, R code)

Downloads:

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): not available, r-release (x86_64): vaxineR_0.1.0.tgz, r-oldrel (x86_64): not available

Linking:

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