survregVB.object {survregVB} | R Documentation |
Variational Bayes Accelererated Failure Time Survival Model Object
Description
This class of objects is returned by the survregVB function to represent
a fitted parametric log-logistic accelerated failure time (AFT) survival
model. Objects of this class have methods for the functions print
and summary
.
Details
For approximate posterior distributions:
-
q^*(\beta)
, aN_p(\mu^*,\Sigma^*)
density function, and -
q^*(b)
, an\text{Inverse-Gamma}(\alpha^*,\omega^*)
density function,
the components of this class are:
-
ELBO
: The final value of the Evidence Lower Bound (ELBO) at the last iteration. -
alpha
: The shape parameter\alpha^*
ofq^*(b)
. -
omega
: The scale parameter\omega^*
ofq^*(b)
. -
mu
: Parameter\mu^*
ofq^*(\beta)
, a vector of means. -
Sigma
: Parameter\Sigma^*
ofq^*(\beta)
, a covariance matrix. -
na.action
: A missing-data filter function, applied to themodel.frame
, after any subset argument has been used. -
iterations
: The number of iterations performed by the VB algorithm: before converging or reachingmax_iteration
. -
n
: The number of observations. -
call
: The function call used to invoke thesurvregVB
method. -
not_converged
: A boolean indicating if the algorithm converged.-
TRUE
: If the algorithm did not converge prior to achievingmax_iteration
. -
NULL
: If the algorithm converged successfully.
-
If survregVB
was called with shared frailty (with the cluster
argument), for approximate posterior distributions:
-
q^*(\sigma^2_\gamma)
, an\text{Inverse-Gamma}(\lambda^*,\eta^*)
density function, -
q^*(\gamma_i)
, aN(\tau^*_i,\sigma^{2*}_i)
density function, fori=1,...,K
clusters, and
the additional components are present:
-
lambda
: The shape parameter\lambda^*
ofq^*(\sigma^2_\gamma)
. -
eta
: The scale parameter\eta^*
ofq^*(\sigma^2_\gamma)
. -
tau
: Parameter\tau^*_i
ofq^*(\gamma_i)
, a vector of means. -
sigma
: Parameter\sigma^{2*}_i
ofq^*(\gamma_i)
, a vector of variance.