This simulated data is an example of the output from the function simulate_SIR_agents() when output_format = "array". It is a 50 x 3 x 188 array where entry (i,j,k) loks at the ith simulation, the jth statistic, and the kth agent.
Each column is asssociated with 1 agent and
is a "sufficient" statistic for each agent's infection. Each agent's
infection is uniquely identified by an initial state, max time before
infection (or time T-1), and max time before recovery (or time T-1). Note time T-1
is the final recorded time in the SIR model (in this case T = 50).
agents_sims
An array with dimension 50 x 3 x 188 data frame with 188 rows and 3 columns. Below are the descriptions of each dimension
Simulation number is the first dimension. They are named between 1 and 50
This is the sufficient statistic for each agent as described above. The names of the statistics are init_state, max_time_S, and max_time_I
the ID of the agent
## show first simulation of first 10 agents agents_sims[1, , 1:10]#> agent_id #> U_stat id_1 id_2 id_3 id_4 id_5 id_6 id_7 id_8 id_9 id_10 #> init_state 0 0 0 0 0 0 0 0 0 0 #> max_time_S NA NA 20 NA NA NA 10 NA NA 15 #> max_time_I NA NA 28 NA NA NA 16 NA NA 19