.lprop.dens.beta.NR

log Gaussian proposal density for Newton Raphson proposal

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

.lprop.dens.beta.NR function

<dl><dt>beta.prop</dt>
<dd>beta proposal</dd>
<dt>mu_old</dt>
<dd>density mean</dd>
<dt>var_old</dt>
<dd>density variance</dd></dl>

Arguments

log Gaussian proposal density for Newton Raphson proposal — .lprop.dens.beta.NR

<dl>

<dt>beta.prop</dt>
<dd>beta proposal</dd>


<dt>mu_old</dt>
<dd>density mean</dd>


<dt>var_old</dt>
<dd>density variance</dd>

</dl>

.lprop.dens.beta.NR: log Gaussian proposal density for Newton Raphson proposal

Description

Usage

Value

Arguments