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seroreconstruct: Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection

A Bayesian framework for inferring influenza infection status from serial antibody measurements. Jointly estimates season-specific infection probabilities, antibody boosting and waning after infection, and baseline hemagglutination inhibition (HAI) titer distributions via Markov chain Monte Carlo (MCMC). Supports multi-season analysis and subgroup comparisons via a group_by interface. See Tsang et al. (2022) <doi:10.1038/s41467-022-29310-8> for methodological details.

Version: 1.1.5
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.9), RcppParallel
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-04-03
DOI: 10.32614/CRAN.package.seroreconstruct
Author: Tim Tsang ORCID iD [aut, cre]
Maintainer: Tim Tsang <timkltsang at gmail.com>
BugReports: https://github.com/timktsang/seroreconstruct/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/timktsang/seroreconstruct
NeedsCompilation: yes
SystemRequirements: TBB
Citation: seroreconstruct citation info
Materials: README, NEWS
CRAN checks: seroreconstruct results

Documentation:

Reference manual: seroreconstruct.html , seroreconstruct.pdf
Vignettes: Getting Started with seroreconstruct (source, R code)
Statistical Methodology (source, R code)

Downloads:

Package source: seroreconstruct_1.1.5.tar.gz
Windows binaries: r-devel: seroreconstruct_1.1.5.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): seroreconstruct_1.1.5.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=seroreconstruct 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.