model_size_table: Extract the Prior and Posterior Model Sizes

In badp: Bayesian Averaging for Dynamic Panels

Extract the Prior and Posterior Model Sizes

Description

Returns the table of prior and posterior expected model sizes under the binomial and binomial-beta model priors. Model size counts regressors and excludes the lagged dependent variable, which is present in every model.

Usage

model_size_table(x, ...)

## S3 method for class 'badp_bma'
model_size_table(x, ...)

Arguments

x	An object of class badp_bma.
...	Arguments passed to methods.

Value

A numeric matrix with two rows, one per model prior, and two columns holding the prior and the posterior expected model size.

See Also

bma, model_sizes

Examples

data(full_model_space)
results <- bma(full_model_space)

model_size_table(results)

badp documentation built on Sept. 15, 2026, 1:08 a.m.