func_MCMC_graph: Function to learn MRF graph

In BayesSurvive: Bayesian Survival Models for High-Dimensional Data

Function to learn MRF graph

Description

This an internal function for MCMC sampling

Usage

func_MCMC_graph(sobj, hyperpar, ini, S, method, MRF_2b, cpp = FALSE)

Arguments

sobj	a list containing observed data from n subjects; t, di, X. See details for more information
hyperpar	a list containing prior parameter values
ini	a list containing prior parameters' ini values
S	the number of subgroups
method	a method option from c("Pooled", "CoxBVSSL", "Sub-struct")
MRF_2b	two different b in MRF prior for subgraphs G_ss and G_rs
cpp	logical, whether to use C++ code for faster computation

Value

A list object with components "Sig" the updated covariance matrices, "G.ini" the updated graph, "V.ini" the updated variances for precision matrices in all subgroups, "C.ini" the updated precision matrices omega for each subgroup

BayesSurvive documentation built on April 3, 2025, 5:58 p.m.