.plot_trace

Creates a trace plot of given MCMC samples.

Allows Bayesian borrowing from a historical dataset for time-to-
event data. A flexible baseline hazard function is achieved via a piecewise
exponential likelihood with time varying split points and smoothing prior on the
historic baseline hazards. The method is described in Scott and Lewin (2024)
<doi:10.48550/arXiv.2401.06082>, and the software paper is in Axillus et al.
(2024) <doi:10.48550/arXiv.2408.04327>.

Darren Scott

BayesFBHborrow

Bayesian Dynamic Borrowing with Flexible Baseline Hazard
Function

Sophia Axillus

.plot_trace function

<dl><dt>x_lim</dt>
<dd>x-axis of the plot</dd>
<dt>samples</dt>
<dd>samples from MCMC</dd>
<dt>title</dt>
<dd>optional, add title to plot</dd>
<dt>xlab</dt>
<dd>optional, add xlabel</dd>
<dt>ylab</dt>
<dd>optional, add ylabel</dd>
<dt>color</dt>
<dd>color of the mid line, default is black</dd>
<dt>linewidth</dt>
<dd>thickness of the plotted line, default is 1</dd></dl>

Arguments

Plot MCMC trace — .plot_trace

<dl>

<dt>x_lim</dt>
<dd>x-axis of the plot</dd>


<dt>samples</dt>
<dd>samples from MCMC</dd>


<dt>title</dt>
<dd>optional, add title to plot</dd>


<dt>xlab</dt>
<dd>optional, add xlabel</dd>


<dt>ylab</dt>
<dd>optional, add ylabel</dd>


<dt>color</dt>
<dd>color of the mid line, default is black</dd>


<dt>linewidth</dt>
<dd>thickness of the plotted line, default is 1</dd>

</dl>

.plot_trace: Plot MCMC trace

Description

Usage

Value

Arguments