draw_incident_population: Simulates an incident population according to a specific...
In rprev: Estimating Disease Prevalence from Registry Data

This method defines the main behaviour of an incidence model and must be implemented for any class to be used in prevalence.

1	draw_incident_population(object, data, timeframe, covars)

`object`	The incidence model.
`data`	The original registry data frame passed into `prevalence`. It is supplied in this method so that individual level attributes can be sampled from the prior distribution.
`timeframe`	The amount of time in days in which to simulate incidence for.
`covars`	Any patient level covariates that must be included in the new simulated incident population, as a character vector. These will correspond to columns in `data`.

A data frame where each row corresponds to a simulate incident patient. The first column must be incidence time (in days). This will be relative to an unspecified baseline. All covariates specified in covars must be present in this data frame.

rprev documentation built on May 4, 2021, 5:08 p.m.