I am having a little trouble with the
my_population <- declare_population(N = 500, noise = rnorm(N)) my_potential_outcomes <- declare_potential_outcomes( Y_Z_0 = noise, Y_Z_1 = noise + rnorm(N, mean = 2, sd = 2)) my_assignment <- declare_assignment() my_estimand <- declare_estimand(ATE = mean(Y_Z_1 - Y_Z_0)) my_estimator <- declare_estimator(Y ~ Z, estimand = my_estimand) my_reveal <- declare_reveal() my_diagnosands <- declare_diagnosands(select = c(bias, rmse)) design <- my_population + my_potential_outcomes + my_estimand + my_assignment + my_reveal + my_estimator + my_diagnosands diagnosis <- diagnose_design(design, sims = 10) get_diagnosands(diagnosis)
I am expecting to only have bias and rmse. Instead I still have all diagnosands. Am I using this function correctly?
Also, is it correct to say that
declare_diagnosands is outside of the MIDA framework?