marginal.probs: Function for calculating marginal inclusion probabilities of...

In FBMS: Flexible Bayesian Model Selection and Model Averaging

Function for calculating marginal inclusion probabilities of features given a list of models

Description

Function for calculating marginal inclusion probabilities of features given a list of models

Usage

marginal.probs(models)

Arguments

models

The list of models to use.

Value

A numeric vector of marginal model probabilities based on relative frequencies of model visits in MCMC.

Examples

result <- gmjmcmc(x = matrix(rnorm(600), 100),
y = matrix(rnorm(100), 100), 
P = 2, 
transforms = c("p0", "exp_dbl"))
marginal.probs(result$models[[1]])

FBMS documentation built on Sept. 13, 2025, 1:09 a.m.