Diagnose a precomputed simulations table

Diagnose a precomputed simulations table

Usage

diagnose_simulations(simulations_df, diagnosands = NULL, bootstrap_sims = 100)

Arguments

simulations_df

(required) A tibble produced by simulate_design(). Grouping set with dplyr::group_by() adds to the groups diagnosed.

diagnosands

(optional) A diagnosands design_step (e.g., from declare_diagnosands()). NULL (the default) uses default_diagnosands().

bootstrap_sims

(optional) Number of bootstrap replicates. Defaults to 100; 0 skips the bootstrap.

Value

A diagnosis object, as diagnose_design() returns.

See also

Other simulation and diagnosis: compare_diagnoses(), diagnose_design(), get_diagnosands(), get_simulations(), simulate_design()

Examples

design <- declare_model(N = 40, U = rnorm(N), Z = rep(0:1, 20), Y = U + Z) +
  declare_inquiry(ATE = 1) +
  declare_estimator(Y ~ Z, .method = lm, term = "Z", inquiry = "ATE",
                    label = "ols")
sims <- simulate_design(design, sims = 5)
diagnose_simulations(sims, bootstrap_sims = 0)
#> Research design diagnosis
#>   5 simulations
#> 
#>  Design Inquiry Estimator Term N Sims Mean Estimand Mean Estimate Bias
#>  design     ATE       ols    Z      5          1.00          1.07 0.07
#>  SD Estimate RMSE Power Coverage
#>         0.32 0.29  1.00     1.00