Summarise a causalsim_eval result — summary.causalsim

Returns a structured summary of estimator performance including the metrics table and the distribution of per-replication estimates (mean, SD, median, and 10th / 90th percentiles).

Usage

# S3 method for class 'causalsim_eval'
summary(object, ...)

Arguments

object: A causalsim_eval object.
...: Ignored.

Value

An S3 object of class causalsim_eval_summary with components:

metrics: The metrics data frame from the original result.
mean_estimate: Mean of per-replication estimates.
sd_estimate: Standard deviation of per-replication estimates.
median_estimate: Median of per-replication estimates.
p10_estimate: 10th percentile of per-replication estimates.
p90_estimate: 90th percentile of per-replication estimates.
true_ate: True ATE from the DGP.
reps: Number of replications.