sigma_squared_star {survregVB} | R Documentation |
Calculates parameter \sigma^{2*}_i
of q^*(\gamma_i)
for
i=1,...,K
clusters to optimize the evidence based lower bound
(ELBO) in survregVB.frailty.fit
.
Description
Calculates parameter \sigma^{2*}_i
of q^*(\gamma_i)
for
i=1,...,K
clusters to optimize the evidence based lower bound
(ELBO) in survregVB.frailty.fit
.
Usage
sigma_squared_star(
y,
X,
delta,
alpha,
omega,
mu,
tau,
lambda,
eta,
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. |
alpha |
The shape parameter |
omega |
The scale parameter |
mu |
Parameter |
tau |
Parameter |
lambda |
The shape parameter |
eta |
The scale parameter |
expectation_b |
The expected value of b. |
cluster |
A numeric vector indicating the cluster assignment for each observation. |
Value
Parameter vector \sigma^{2*}_i
of q^*(\gamma_i)
for all clusters.