jump

jump.bayesCox

Generic function for jump information

extract

bayesCox

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

jump function

<dl><dt>object</dt>
<dd>An object returned by function <code>bayesCox</code>.</dd>
<dt>...</dt>
<dd>Other arguments.</dd></dl>

Arguments

<ul>
<li><code>jump(bayesCox)</code>: Extract Jump Information from Bayesian Dyanmic Model
Extract number of coefficient pieces from <code>bayesCox</code> fitting results,
and summarize them into a data frame. It is only applicable when
<code>model="Dynamic"</code> is specified.</li>
</ul>

Methods (by class)

Generic function for jump information — jump

<dl>

<dt>object</dt>
<dd>An object returned by function <code>bayesCox</code>.</dd>


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

</dl>

jump: Generic function for jump information

Description

Usage

Value

Arguments

Methods (by class)

See Also

Examples