nu: Generic function for the latent variance of coefficients

Description Usage Arguments Value Methods (by class) References See Also Examples

View source: R/jump.R

Description

Generic function for the latent variance of coefficients

Usage

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nu(object, ...)

## S3 method for class 'bayesCox'
nu(object, ...)

Arguments

object

An object returned by function bayesCox.

...

Other arguments.

Value

A data.frame with 4 columns ("Iter", "Model", "Cov", "Value"), where Iter is the iteration number; Model and Cov contain the character values of the model type and covariates.

Methods (by class)

References

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 Also

bayesCox, and plotNu.

Examples

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## See the examples in bayesCox.

dynsurv documentation built on Sept. 7, 2020, 5:07 p.m.

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