bayesCoxMcmc

Returns the MCMC samples produced by
<code>bayesCox</code> into data frames.

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

bayesCoxMcmc function

<dl><dt>object</dt>
<dd>A <code>bayesCox</code> object</dd>
<dt>parts</dt>
<dd>A character vector specifying the parts to be exacted from the
MCMC output text file produced by <code>bayesCox</code>. One or more
following options can be specified: <code>"h0"</code> for baseline hazard
function, <code>"coef"</code> for covariate coefficients, <code>"nu"</code> for
sampled latent variance of coefficients, <code>"jump"</code> for indicators of
jumps, and <code>"all"</code> for all of the above. The default value is
<code>c("h0", "beta")</code>.</dd>
<dt>...</dt>
<dd>Other arguments that are not used now.</dd></dl>

Arguments

Get the MCMC Samples from bayesCox — bayesCoxMcmc

<dl>

<dt>object</dt>
<dd>A <code>bayesCox</code> object</dd>


<dt>parts</dt>
<dd>A character vector specifying the parts to be exacted from the
MCMC output text file produced by <code>bayesCox</code>. One or more
following options can be specified: <code>"h0"</code> for baseline hazard
function, <code>"coef"</code> for covariate coefficients, <code>"nu"</code> for
sampled latent variance of coefficients, <code>"jump"</code> for indicators of
jumps, and <code>"all"</code> for all of the above. The default value is
<code>c("h0", "beta")</code>.</dd>


<dt>...</dt>
<dd>Other arguments that are not used now.</dd>

</dl>

bayesCoxMcmc: Get the MCMC Samples from `bayesCox`

Description

Usage

Arguments