Reconstructing Antibody Dynamics to Estimate the Risk of Influenza Virus Infection


[Up] [Top]

Documentation for package ‘seroreconstruct’ version 1.1.5

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