Example numeric model parameters (model_pars) required as an input for runserosim. This example model_pars is for a simulation two different exposure events both containing the same biomarker. model_pars argument is responsible for storing parameter information needed for the antibody model, observation model and immunity model.
In this example, model_pars has parameters for a monophasic antibody model and for an observational model with noise.
data(example_model_pars_numeric)A data frame with 5 rows and 6 variables:
numeric values for each exposure type present in example biomarker_map
numeric values for each biomarker type present within each exposure type present in example biomarker_map
names of model parameters
numeric values for the true paramter means
numeric values for the true paramter standard deviation
distribution type from which the draw_paramaters function will be sampling a parameter
Other example_data:
example_biomarker_map_numeric,
example_biomarker_map,
example_biomarker_states_wide,
example_biomarker_states,
example_demography,
example_exposure_force,
example_exposure_probabilities,
example_foe_pars,
example_immune_histories_wide,
example_immune_histories,
example_model_pars_biphasic,
example_model_pars_typhoid,
example_model_pars,
example_observed_biomarker_states