OM.MA {madr}

Calculate model probabilities for the outcome models using a pseudo-MC3 algorithm

Description

This function uses a pseudo-MC3 algorithm to search the outcome model space.

Usage

OM.MA(Y, X, U, W = NULL, M = 1000, alpha = NULL, binary = F)

Arguments

Y

vector of the outcome

X

vector of the treatment (0/1)

U

matrix of covariates to be considered for inclusion/exclusion

W

matrix of covariates that will be included in all models (optional)

M

the number of MCMC iteration

alpha

vector of inclusion indicators (which columns of U) to start MCMC algorithm (optional)

binary

indicator if the outcome is binary (optional)

Value

A list. The list contains the following named components:

dict

a list that contains the BIC, predicted values, and estimated treatment effect from each outcome model

alpha

the last model visited by the algorithm

out.table

a matrix that contains the BIC and estimated treatment effect from each outcome model