setup_populations: function to setup synthetic population sizes for each...
In jameshay218/vaxedemic: Optimal allocation of vaccination during a pandemic

function to setup synthetic population sizes for each location, age, risk group, and labels associated with these

1 2	setup_populations(popn_size, n_countries, age_propns, risk_propns, risk_factors)

`popn_size`	numeric vector of length 1: population size of a country. assumed to be same across countries.
`n_countries`	numeric vector of length 1: number of countries
`age_propns`	numeric vector: proportion of individuals in each age group. assumed to be the same across countries.
`risk_propns`	numeric vector: proportion of individuals in each age group. assumed to be the same across countries and age groups.
`risk_factors`	numeric vector: degree of increased susceptibility in each risk group. assumed to be the same across countries and age groups.

list with the following elements: X: numeric vector of length n_groups = n_countries * n_ages * n_riskgroups containing the population sizes in each country, age, risk group labels: data frame containing three columns: the location, age, risk group corresponding to each element of X. nrow(labels) = length(X) pop_size: numeric vector of length n_countries containing the total population size in each country.

jameshay218/vaxedemic documentation built on Jan. 30, 2020, 2:58 a.m.