.normalize_prob

Normalize a set of probability to one, using the the log-sum-exp trick

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

.normalize_prob function

<dl><dt>x</dt>
<dd>set of log probabilities</dd></dl>

Arguments

Normalize a set of probability to one, using the the log-sum-exp trick — .normalize_prob

<dl>

<dt>x</dt>
<dd>set of log probabilities</dd>

</dl>

.normalize_prob: Normalize a set of probability to one, using the the log-sum-exp trick

Description

Usage

Value

Arguments