I am having a little trouble with the declare_diagnosands
function.
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?