mu_star_cluster: Calculates parameter mu^* of q^*(beta) to optimize the...

In survregVB: Variational Bayesian Analysis of Survival Data

Calculates parameter \mu^* of q^*(\beta) to optimize the evidence based lower bound (ELBO) in survregVB.frailty.fit.

Description

Calculates parameter \mu^* of q^*(\beta) to optimize the evidence based lower bound (ELBO) in survregVB.frailty.fit.

Usage

mu_star_cluster(
  y,
  X,
  delta,
  mu_0,
  v_0,
  alpha,
  omega,
  mu,
  Sigma,
  tau,
  expectation_b,
  cluster
)

Arguments

y	A vector of observed log-transformed survival times.
X	A design matrix including covariates with first column of ones to represent the intercept.
delta	A binary vector indicating right censoring.
mu_0	Hyperparameter \mu_0, a vector of means, of the prior distribution of the vector of coefficients, \beta.
v_0	The precision (inverse variance) hyperparameter v_0, of the prior distribution of the vector of coefficients, \beta.
alpha	The shape parameter \alpha^* of q^*(b).
omega	The scale parameter \omega^* of q^*(b).
mu	Parameter \mu^* of q^*(\beta), a vector of means.
Sigma	Parameter \Sigma^* of q^*(\beta), a covariance matrix.
tau	Parameter \tau^* of q^*(\gamma_i), a vector of means.
expectation_b	The expected value of b.
cluster	A numeric vector indicating the cluster assignment for each observation.

Value

Parameter \mu^* of q^*(\beta)

See Also

survregVB.frailty.fit

survregVB documentation built on June 8, 2025, 1:46 p.m.