Summarize MAIHDA Model — summary_maihda • MAIHDA

Provides a summary of a MAIHDA model including variance partition coefficients (VPC/ICC) and stratum-specific estimates.

Usage

summary_maihda(
  object,
  bootstrap = FALSE,
  n_boot = 1000,
  conf_level = 0.95,
  ...
)

Arguments

object: A maihda_model object from fit_maihda().
bootstrap: Logical indicating whether to compute bootstrap confidence intervals for VPC/ICC. Default is FALSE.
n_boot: Number of bootstrap samples if bootstrap = TRUE. Default is 1000.
conf_level: Confidence level for bootstrap intervals. Default is 0.95.
...: Additional arguments (not currently used).

Value

A maihda_summary object containing:

vpc: Variance Partition Coefficient (ICC) with optional CI
variance_components: Data frame of variance components
stratum_estimates: Data frame of stratum-specific random effects with labels if available
fixed_effects: Fixed effects estimates
model_summary: Original model summary

Examples

# \donttest{
strata_result <- make_strata(maihda_sim_data, vars = c("gender", "race"))
model <- fit_maihda(health_outcome ~ age + (1 | stratum), data = strata_result$data)
summary_result <- summary_maihda(model)

# With bootstrap CI
# summary_boot <- summary_maihda(model, bootstrap = TRUE, n_boot = 50)
# }