Runs many simulations of a design and returns a simulations data.frame.

simulate_design(..., sims = 500) simulate_designs(..., sims = 500)

... | A design created using the + operator, or a set of designs. You can also provide a single list of designs, for example one created by |
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sims | The number of simulations, defaulting to 500. If sims is a vector of the form c(10, 1, 2, 1) then different steps of a design will be simulated different numbers of times. |

Different steps of a design may each be simulated different a number of times, as specified by sims. In this case simulations are grouped into "fans". The nested structure of simulations is recorded in the dataset using a set of variables named "step_x_draw." For example if sims = c(2,1,1,3) is passed to simulate_design, then there will be two distinct draws of step 1, indicated in variable "step_1_draw" (with values 1 and 2) and there will be three draws for step 4 within each of the step 1 draws, recorded in "step_4_draw" (with values 1 to 6).

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 <- reveal_outcomes() design <- my_population + my_potential_outcomes + my_estimand + my_assignment + my_reveal + my_estimator if (FALSE) { simulations <- simulate_design(designs, sims = 2) diagnosis <- diagnose_design(simulations_df = simulations) } if (FALSE) { # A fixed population with simulations over assignment only head(simulate_design(design, sims = c(1, 1, 1, 100, 1))) }