This example model_pars is for a simulation three different exposure events (one vaccination, two infection types) corresponding to two biomarkers. 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 biphasic antibody model and for an observational model with noise. This model_pars input must be converted to the numeric version (reformat_biomarker_map) before being input into runserosim.
Usage
data(example_model_pars_biphasic)Format
A data frame with 5 rows and 6 variables:
- exposure_id
name of each exposure type present in example biomarker_map
- biomarker_id
name of each biomarker present within each exposure type present in example biomarker_map
- name
names of model parameters
- mean
numeric values for the true paramter means
- sd
numeric values for the true paramter standard deviation
- distribution
distribution type from which the draw_paramaters function will be sampling a parameter
See also
Other example_data:
example_biomarker_map_numeric,
example_biomarker_map,
example_biomarker_states_wide,
example_biomarker_states,
example_demography,
example_exposure_force,
example_exposure_histories_wide,
example_exposure_histories,
example_exposure_probabilities,
example_foe_pars,
example_model_pars_numeric,
example_model_pars_typhoid,
example_model_pars,
example_observed_biomarker_states