post.theta {SurrogateBMA} | R Documentation |
Generates posterior samples of the parameters
Description
Provides a function to generate MCMC samples of p(theta_m | M = m, Data).
Usage
post.theta(Y, S, A, m, nmc = 500, prior.para = NULL)
Arguments
Y |
|
S |
|
A |
|
m |
|
nmc |
|
prior.para |
Value
a numeric matrix; each row contains a MC sample from the posterior of the parameters given a certain model.
Author(s)
Yunshan Duan
References
Duan, Y. and Parast, L., 2023. Flexible evaluation of surrogate markers with Bayesian model averaging. Statistics in Medicine.
[Package SurrogateBMA version 1.0 Index]