.birth_move

Calculates new values of x when proposing another split point, based on a 
weighted mean, as x_new/x &lt;- (1-U)/U

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

.birth_move function

<dl><dt>U</dt>
<dd>uniform random number</dd>
<dt>sj</dt>
<dd>upcoming split point location, j</dd>
<dt>s_star</dt>
<dd>new split point location, *</dd>
<dt>sjm1</dt>
<dd>previous split point location, j-1</dd>
<dt>x</dt>
<dd>vector of parameter values, length J + 1</dd>
<dt>j</dt>
<dd>split point</dd></dl>

Arguments

Birth move in RJMCMC — .birth_move

<dl>

<dt>U</dt>
<dd>uniform random number</dd>


<dt>sj</dt>
<dd>upcoming split point location, j</dd>


<dt>s_star</dt>
<dd>new split point location, *</dd>


<dt>sjm1</dt>
<dd>previous split point location, j-1</dd>


<dt>x</dt>
<dd>vector of parameter values, length J + 1</dd>


<dt>j</dt>
<dd>split point</dd>

</dl>

.birth_move: Birth move in RJMCMC

Description

Usage

Value

Arguments