setup_titredat_for_posterior_func | R Documentation |
Sets up a large list of pre-indexing and pre-processing to speed up the model solving during MCMC fitting.
setup_titredat_for_posterior_func(
titre_dat,
antigenic_map = NULL,
strain_isolation_times = NULL,
age_mask = NULL,
n_alive = NULL
)
titre_dat |
the data frame of data to be fitted. Must have columns: group (index of group); individual (integer ID of individual); samples (numeric time of sample taken); virus (numeric time of when the virus was circulating); titre (integer of titre value against the given virus at that sampling time). See |
antigenic_map |
(optional) a data frame of antigenic x and y coordinates. Must have column names: x_coord; y_coord; inf_times. See |
strain_isolation_times |
(optional) if no antigenic map is specified, this argument gives the vector of times at which individuals can be infected |
age_mask |
see |
n_alive |
if not NULL, uses this as the number alive in a given year rather than calculating from the ages. This is needed if the number of alive individuals is known, but individual birth dates are not |
a very long list. See source code directly.
create_posterior_func
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