A generated action vector and state matrix are input and this function
returns a numeric vector of the same length as the outcome.
evolve_model then computes a fitness score for that potential
solution FSM by comparing it to the provided outcome. This is
repeated for every FSM in the population and then the probability of
selection for the next generation is set to be proportional to the fitness
scores. This function is also used in the predict method for the resulting
final model that is returned. The function aborts if the user aborts in R,
checking every 1000 iterations.
fitnessCPP(action_vec, state_mat, covariates, period)
| action_vec | Integer Vector. |
|---|---|
| state_mat | Integer Matrix. |
| covariates | Integer Matrix. |
| period | Integer Vector. |