Learn R Programming

FBMS (version 1.3)

marginal.probs: 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)

Value

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

Arguments

models

The list of models to use.

Examples

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

Run the code above in your browser using DataLab