plotNu

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

Variance

latent

Time-varying coefficient models for interval censored and
right censored survival data including
1) Bayesian Cox model with time-independent, time-varying or
dynamic coefficients for right censored and interval censored data studied by
Sinha et al. (1999) <doi:10.1111/j.0006-341X.1999.00585.x> and
Wang et al. (2013) <doi:10.1007/s10985-013-9246-8>,
2) Spline based time-varying coefficient Cox model for right censored data
proposed by Perperoglou et al. (2006) <doi:10.1016/j.cmpb.2005.11.006>, and
3) Transformation model with time-varying coefficients for right censored data
using estimating equations proposed by
Peng and Huang (2007) <doi:10.1093/biomet/asm058>.

Wenjie Wang

dynsurv

Dynamic Models for Survival Data

Ming-Hui Chen

Xiaojing Wang

Jun Yan

plotNu function

<dl><dt>object</dt>
<dd>A data.frame returned by the function <code>nu</code>.</dd>
<dt>...</dt>
<dd>Other arguments.</dd></dl>

Arguments

Plot Latent Variance in Bayesian Cox Model — plotNu

<dl>

<dt>object</dt>
<dd>A data.frame returned by the function <code>nu</code>.</dd>


<dt>...</dt>
<dd>Other arguments.</dd>

</dl>

plotNu: Plot Latent Variance in Bayesian Cox Model

Description

Usage

Value

Arguments

See Also

Examples