R/initialize_agents.R

In EvoNetHIV/EvoNetVaccine: Evonet: Integrated Bio-Social Models for HIV Epidemiology

#' @export
initialize_agents <- function(dat,at)
{
  #Description: (8/2/16)
  # 1) Creates the "pop" list which contains all info for each individual agent. 
  # The length of pop list is equal to length of number of attributes contained in 
  # "input_parameters_agent_attributes" fxn. The length of each vector in the initial pop list (eg, age vector)
  # is equal to value for the initial number of agents (parameter 'initial_pop')
  # Default values for each attribute are initially NA; for attributes where default values are other than NA 
  # (eg, age attribute) are filled in with appropriate values with "new_additions_fxn".
  # 2) Creates data structures for "aim3" models
  # Inputs: param$popVariables, param$initial_pop
  # Outputs: dat$pop, V_vec_length, pop$V_vec, pop$I_vec, pop$M_vec, pop$L_vec
  
  popVars  <- input_parameters_agent_attributes()$popVariables
  pop        <- vector('list', length( popVars ) )
  pop        <- lapply(pop, function(x){ rep( NA_real_, times = dat$param$initial_pop ) } )
  names(pop) <- popVars
  
  pop <- new_additions_fxn(input_list = pop, dat = dat,
                           index = 1 : dat$param$initial_pop,
                           type = "initial", at = at)
  
  #Aim 3 variables (ask john for clarification); each agent gets a row in matrix
  #V,I,M,L that tracs number of mutations
  V_vec_length   <- 2^dat$param$Max_Allowable_Loci 
  pop$V_vec <- matrix(0,nrow=dat$param$initial_pop, ncol=V_vec_length)
  pop$I_vec <- matrix(0,nrow=dat$param$initial_pop, ncol=V_vec_length)
  pop$M_vec <- matrix(0,nrow=dat$param$initial_pop, ncol=V_vec_length)
  pop$L_vec <- matrix(0,nrow=dat$param$initial_pop, ncol=V_vec_length)
  
  #assigns "pop" object to main "dat" epimodel data structure
  dat$pop <- pop  
  
  return(dat)
}