Package: seroreconstruct 1.1.5

Tim Tsang

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.

Authors:Tim Tsang [aut, cre]

seroreconstruct_1.1.5.tar.gz
seroreconstruct_1.1.5.tar.gz(r-4.7-arm64)seroreconstruct_1.1.5.tar.gz(r-4.7-x86_64)seroreconstruct_1.1.5.tar.gz(r-4.6-arm64)seroreconstruct_1.1.5.tar.gz(r-4.6-x86_64)
seroreconstruct_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
seroreconstruct/json (API)
NEWS

# Install 'seroreconstruct' in R:
install.packages('seroreconstruct', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/timktsang/seroreconstruct/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • flu_activity - Example of flu activity data
  • inputdata - Example of input data
  • para1 - Example of parameter vector for the main model
  • para2 - Example of parameter vector for the baseline HAI titer for the main model

On CRAN:

Conda:

openblascpp

3.00 score 5 scripts 140 downloads 10 exports 3 dependencies

Last updated from:f4c8171b1b. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE152
linux-devel-x86_64NOTE214
source / vignettesOK278
linux-release-arm64NOTE150
linux-release-x86_64NOTE206
wasm-releaseOK117

Exports:output_model_estimateplot_boostingplot_diagnosticsplot_infection_probplot_trajectoryplot_waningsero_reconstructsimulate_datatable_infectionstable_parameters

Dependencies:RcppRcppArmadilloRcppParallel

Getting Started with seroreconstruct

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-04-03
Started: 2026-04-03

Statistical Methodology

Rendered frommethodology.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-04-03
Started: 2026-04-03