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Calculate Simulation Performance Metrics

Source: R/performance.R
calc_bias_rmse.Rd

Compute bias, RMSE, coverage, and power from raw simulation results. Uses simhelpers for MCSE when available.

Usage

calc_bias_rmse(
  data,
  estimates = "estimate",
  true_param = "true_value",
  mcse = TRUE
)

calc_coverage(
  data,
  estimates = "estimate",
  true_param = "true_value",
  ci_lower = "ci_lower",
  ci_upper = "ci_upper",
  mcse = TRUE
)

calc_power(data, pvalues = "pvalue", alpha = 0.05, mcse = TRUE)

Arguments

data

Tibble of raw results with columns for estimates, SEs, etc.

estimates

Name or vector of point estimates.

true_param

Name or vector of true parameter values.

mcse

If TRUE (default), use simhelpers for MCSE when available.

ci_lower, ci_upper

Column names or vectors for CI bounds.

pvalues

Column name or vector of p-values.

alpha

Significance level for rejection.

ses

Optional; name or vector of standard errors.

Value

Tibble with performance metrics.

See also

Other performance: extract_param_estimates(), summarize_bias_by()