Example of the parameter table used through serosolver. This data frame is used to control everything related to the model parameters, including values, names, fixed/estimates, and uniform prior bounds.
data(example_par_tab)A data frame with 17 rows and 10 variables:
string names of the model parameters
numeric values of the parameters
binary values indicating if the parameter should be fixed (1) or estimated (0) during the MCMC procedure
lower numeric bound for the parameter during fitting (lower uniform prior bound)
upper numeric bound for the parameter during fitting (upper uniform prior bound)
can be used to set the lower allowable random starting value for the MCMC
can be used to set the upper allowable random starting value for the MCMC
used for bookkeeping during MCMC, set to 1 for normal model parameters, 0 for fixed model options such as exponential_waning, 2 for attack rate terms, phi, or 3 for measurement offset terms, rho
optional demographic variable or variables used to stratify a parameter
gives the biomarker group each parameter corresponds to, matching entries in the antibody_data object