Generic function for the latent variance of coefficients
1 2 3 4
An object returned by function
A data.frame with 4 columns
("Iter", "Model", "Cov",
Iter is the iteration number;
Cov contain the character values of the model type and covariates.
bayesCox: Extract Latent Variance from Bayesian Cox Model
Extract latent variance of coefficients from
results, and summarize them into a data frame. It is applicable when
For details, see section on prior model in Wang (2013) and Wang (2014). The latent variance of coefficients in prior model was denoted as omega in Wang (2013).
X. Wang, M.-H. Chen, and J. Yan (2013). Bayesian dynamic regression models for interval censored survival data with application to children dental health. Lifetime data analysis, 19(3), 297–316.
X. Wang, X. Sinha, J. Yan, and M.-H. Chen (2014). Bayesian inference of interval-censored survival data. In: D. Chen, J. Sun, and K. Peace, Interval-censored time-to-event data: Methods and applications, 167–195.
## See the examples in bayesCox.
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