summary.survregVB: Summary for Variational Bayes log-logistic AFT models.

In survregVB: Variational Bayesian Analysis of Survival Data

Summary for Variational Bayes log-logistic AFT models.

Description

Produces a summary of a fitted Variational Bayes Parametric Survival Regression Model for a Log-Logistic AFT Model

Usage

## S3 method for class 'survregVB'
summary(object, ci = 0.95, ...)

Arguments

object	The result of a survregVB fit.
ci	The significance level for the credible intervals. (Default:0.95).
...	For future arguments.

Value

An object of class summary.survregVB with components:

• ELBO: The final value of the Evidence Lower Bound (ELBO) at the last iteration.

• 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.

• na.action: A missing-data filter function, applied to the model.frame, after any subset argument has been used.

• iterations: The number of iterations performed by the VB algorithm: before converging or reaching max_iteration.

• n: The number of observations.

• call: The function call used to invoke the survregVB method.

• not_converged: A boolean indicating if the algorithm converged.

  • TRUE: If the algorithm did not converge prior to achieving max_iteration.

  • NULL: If the algorithm converged successfully.

• estimates: A matrix with one row for each regression coefficient, and one row for the scale parameter. The columns contain:

  • Value: The estimated value based on the posterior distribution mean.

  • Lower CI: The lower bound of the credible interval.

  • Upper CI: The upper bound of the credible interval.

If called with shared frailty, the object also contains components:

• lambda: The shape parameter \lambda^* of q^*(\sigma^2_\gamma).

• eta: The scale parameter \eta^* of q^*(\sigma^2_\gamma).

• tau: Parameter \tau^*_i of q^*(\gamma_i), a vector of means.

• sigma: Parameter \sigma^{2*}_i of q^*(\gamma_i), a vector of variance.

The estimates component will contain an additional row for the frailty, the estimated variance based on the posterior mean for the random intercepts.

See Also

survregVB

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