View source: R/compare_diagnoses.R
compare_diagnoses | R Documentation |
Diagnose and compare designs.
compare_diagnoses( design1, design2, sims = 500, bootstrap_sims = 100, merge_by_estimator = TRUE, alpha = 0.05 )
design1 |
A design or a diagnosis. |
design2 |
A design or a diagnosis. |
sims |
The number of simulations, defaulting to 1000. |
bootstrap_sims |
Number of bootstrap replicates for the diagnosands to obtain the standard errors of the diagnosands, defaulting to |
merge_by_estimator |
A logical. Whether to include |
alpha |
The significance level, 0.05 by default. |
The function compare_diagnoses
runs a many-to-many merge matching by inquiry
and term
(if present). If merge_by_estimator
equals TRUE
, estimator
is also included in the merging condition. Any diagnosand that is not included in both designs will be dropped from the merge.
A list with a data.frame
of compared diagnoses and both diagnoses.
design_a <- declare_model(N = 100, U = rnorm(N), Y_Z_0 = U, Y_Z_1 = U + rnorm(N, mean = 2, sd = 2)) + declare_assignment(Z = complete_ra(N, prob = 0.5)) + declare_inquiry(ATE = mean(Y_Z_1 - Y_Z_0)) + declare_measurement(Y = reveal_outcomes(Y ~ Z)) + declare_estimator(Y ~ Z, inquiry = "ATE") design_b <- replace_step( design_a, step = "assignment", declare_assignment(Z = complete_ra(N, prob = 0.3)) ) comparison <- compare_diagnoses(design_a, design_b, sims = 40)
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