summary.badp_bma: Summarize Bayesian Model Averaging Results

In badp: Bayesian Averaging for Dynamic Panels

Summarize Bayesian Model Averaging Results

Description

Summary method for objects of class badp_bma.

Usage

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

Arguments

object	An object of class badp_bma, typically the result of bma.
...	Additional arguments (currently unused).

Details

This function creates a comprehensive summary object that includes model space information, BMA statistics for both priors, and highlights variables with high posterior inclusion probabilities. The summary always displays results for both the binomial and binomial-beta priors to allow direct comparison.

Value

An object of class summary.badp_bma containing:

• model_space_size - Total number of models in the model space

• num_regressors - Number of regressors (excluding lagged dependent variable)

• expected_model_size - Expected model size

• dilution_applied - Logical indicating if dilution prior was used

• omega - Numeric value of the dilution parameter (omega); only relevant when dilution_applied is TRUE

• results_binomial - Coefficient table for binomial prior

• results_beta - Coefficient table for binomial-beta prior

• model_sizes - Prior and posterior model sizes table

• reg_names - Variable names

See Also

bma, print.badp_bma, coef.badp_bma

Examples

data(full_model_space)
results <- bma(full_model_space)
summary(results)

badp documentation built on Aug. 20, 2026, 9:08 a.m.