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

# Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection

## Documentation for package ‘seroreconstruct’ version 1.1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

flu_activity | Example of flu activity data
inputdata | Example of input data
output_model_estimate | Extract the model estimates from the fitted MCMC
para1 | Example of parameter vector for the main model
para2 | Example of parameter vector for the baseline HAI titer for the main model
plot_boosting | Plot posterior boosting distributions
plot_diagnostics | MCMC diagnostic plots
plot_infection_prob | Plot infection probabilities (forest plot)
plot_trajectory | Plot antibody trajectory with model fit
plot_waning | Plot posterior waning curves
print.seroreconstruct_fit | Print method for seroreconstruct_fit
print.seroreconstruct_joint | Print method for seroreconstruct_joint
print.seroreconstruct_multi | Print method for seroreconstruct_multi
print.summary.seroreconstruct_fit | Print method for summary.seroreconstruct_fit
print.summary.seroreconstruct_joint | Print method for summary.seroreconstruct_joint
print.summary.seroreconstruct_multi | Print method for summary.seroreconstruct_multi
sero_reconstruct | Run the MCMC for the Bayesian model
simulate_data | Simulation of the dataset of the Bayesian model
summary.seroreconstruct_fit | Summary method for seroreconstruct_fit
summary.seroreconstruct_joint | Summary method for seroreconstruct_joint
summary.seroreconstruct_multi | Summary method for seroreconstruct_multi
table_infections | Per-individual infection estimates
table_parameters | Summary table of model parameters with credible intervals
[[.seroreconstruct_multi | Subset a seroreconstruct_multi object