log_sum_exp

<p>Numerically stable summation of logs</p>

internal

Tool-set to support Bayesian evidence synthesis.  This
includes meta-analysis, (robust) prior derivation from historical
data, operating characteristics and analysis (1 and 2 sample
cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19>
for details on applying this package while Neuenschwander et al. (2010)
<doi:10.1177/1740774509356002> and Schmidli et al. (2014)
<doi:10.1111/biom.12242> explain details on the methodology.

Sebastian Weber

RBesT

R Bayesian Evidence Synthesis Tools

Novartis Pharma AG

Beat Neuenschwander

Heinz Schmidli

Baldur Magnusson

Yue Li

Satrajit Roychoudhury

Trustees of Columbia University

log_sum_exp function

Numerically stable summation of logs — log_sum_exp

Numerically stable summation of logs

log_sum_exp: Numerically stable summation of logs

Description

Usage

Arguments