UpdateGamma: Subfunctions to update parameters

In BayesSurvive: Bayesian Survival Models for High-Dimensional Data

Subfunctions to update parameters

Description

This contains subfunctions to update parameters gammas, betas, baseline hazard and graph learning parameters

Usage

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

Arguments

sobj	a list containing observed data
hyperpar	a list containing prior parameter values
ini	a list containing prior parameters' initial values
S	the number of subgroups
method	a method option from c("Pooled", "CoxBVSSL", "Sub-struct", "Subgroup")
MRF_G	logical value. MRF_G = TRUE is to fix the MRF graph which is provided in the argument hyperpar, and MRF_G = FALSE is to use graphical model for learning the MRF graph
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 two components for the latent variable selection indicators gamma with either independent Bernoulli prior

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