Summary method for shrinkr_fit — summary.shrinkr_fit • shrinkr

Comprehensive posterior summary including hyperparameters and all subgroup effects with convergence diagnostics.

Usage

# S3 method for class 'shrinkr_fit'
summary(
  object,
  probs = c(0.025, 0.5, 0.975),
  group_names = NULL,
  digits = 3,
  ...
)

Arguments

object: A shrinkr_fit object.
probs: Numeric vector of quantiles to compute. Default is c(0.025, 0.5, 0.975).
group_names: Optional character vector to label groups.
digits: Number of digits to display. Default is 3.
...: Additional arguments (currently unused).

Value

Invisibly returns a list with mu_tau and theta summary tables. Prints formatted output.

See also

shrink() for fitting models, summarise_theta() for theta-only summaries