View source: R/sim_annealing.R
calculate_TAE | R Documentation |
Calculates the total absolute error (TAE) between sample micro data and constraining
totals from the matching macro data. Allows for updating of prior TAE instead of re-calculating
to improve speed in iterating. The updating feature is particularly helpful for optimizing
micro data fitting via simulated annealing (see optimize_microdata
).
calculate_TAE( sample_data, constraint_list, prior_sample_totals = NULL, dropped_obs_totals = NULL, new_obs = NULL )
sample_data |
A |
constraint_list |
A |
prior_sample_totals |
An optional |
dropped_obs_totals |
An optional |
new_obs |
An optional |
## Not run: ## assumes that you have a micro_synthetic dataset named test_micro and attribute count ## named g respectively c_list <- add_constraint(attr_name= "gender", attr_totals= g, micro_data= test_micro, constraint_list= c_list) calculate_TAE(test_micro, c_list) ## End(Not run)
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