posterior_dens: Kernel Densities of the Coefficients

In badp: Bayesian Averaging for Dynamic Panels

Kernel Densities of the Coefficients

Description

This function draws graphs of the posterior densities of all the coefficients of interest.

Usage

posterior_dens(x, prior = "binomial", SE = "standard")

Arguments

x	An object of class badp_bma, typically returned by bma.
prior	Parameter indicating which model prior should be used for calculations: "binomial" - using binomial model prior (default option) "beta" - using binomial-beta model prior
SE	Parameter indicating which standard errors should be used in calculation of posterior standard deviation: "standard" - regular standard errors (default option) "robust" - robust standard errors

Value

A list with the graphs of the posterior densities of coefficients for all the considered regressors.

Examples

library(magrittr)

data_prepared <- badp::economic_growth[, 1:6] %>%
  badp::feature_standardization(
    excluded_cols = c(country, year, gdp)
  ) %>%
  badp::feature_standardization(
    group_by_col  = year,
    excluded_cols = country,
    scale         = FALSE
  )

bma_results <- bma(
  model_space = badp::small_model_space,
  round       = 3,
  dilution    = 0
)

posterior_graphs <- posterior_dens(bma_results, prior = "binomial", SE = "robust")

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