age.sex.zip: Simulate CRC data with age, sex, and zip code
Description
Generate a fake data set with covariates age, sex, and zip code.
Usage
age.sex.zip(n)
Arguments
n
The number of population units.
Value
pop
A data.frame containing the covariates and capture
histories associated with each observed unit.
Details
This simulation is vaguely inspired by the French dataset on multiple
sclerosis prevalence (El Adssi et. al., 2012). It is used to create a
three-list capture-recapture system with unit-level independence between
lists. Capture probabilities are constant (for simplicity!) across lists,
but not across population units. The heterogeneity is a function of the
covariates: age, sex, and zip code. We code zip here as `a', `b', `c', `d'.