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 (may not be active yet)
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: not available, 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:

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