.ltau_dprior

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

.ltau_dprior function

<dl><dt>tau</dt>
<dd>current value(s) of tau</dd>
<dt>a_tau</dt>
<dd>tau hyperparameter</dd>
<dt>b_tau</dt>
<dd>tau hyperparameter</dd>
<dt>c_tau</dt>
<dd>tau hyperparameter</dd>
<dt>d_tau</dt>
<dd>tau hyperparameter</dd>
<dt>p_0</dt>
<dd>mixture ratio</dd>
<dt>type</dt>
<dd>choice of borrowing, "mix", "uni", or any other string for 
borrowing on every baseline hazard without mixture</dd></dl>

Arguments

Calculate log density tau prior — .ltau_dprior

<dl>

<dt>tau</dt>
<dd>current value(s) of tau</dd>


<dt>a_tau</dt>
<dd>tau hyperparameter</dd>


<dt>b_tau</dt>
<dd>tau hyperparameter</dd>


<dt>c_tau</dt>
<dd>tau hyperparameter</dd>


<dt>d_tau</dt>
<dd>tau hyperparameter</dd>


<dt>p_0</dt>
<dd>mixture ratio</dd>


<dt>type</dt>
<dd>choice of borrowing, "mix", "uni", or any other string for 
borrowing on every baseline hazard without mixture</dd>

</dl>

.ltau_dprior: Calculate log density tau prior

Description

Usage

Value

Arguments