plotNu


    a data.frame returned by the function <code>nu</code>.
  

object


  Plot the latent variance <code>nu</code> when the hierarchical AR(1) process
  prior is used for the <code>bayesCox</code> model. It is applicable when
  <code>model="TimeVarying"</code> or <code>model="Dynamic"</code>, and
  <code>coef.prior=list(type="HAR1")</code>. The input data frame is returned
  by function <code>nu</code>.


plot

latent variance

Functions to fit time-varying coefficient models for interval
censored and right censored survival data. Three major
approaches are implemented: 1) Bayesian Cox model with
time-independent, time-varying or dynamic coefficients for
right censored and interval censored data; 2) Spline based
time-varying coefficient Cox model for right censored data;
3) Transformation model with time-varying coefficients for
right censored data using estimating equations.

plotNu: Plot Latent Variance in Bayesian Cox Model

Description

Usage

Arguments

Value

See Also

Examples