.gmap_divergence_count

<p>Count divergent transitions from stored sampler diagnostics</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

Lukas A. Widmer

Daniel Sabanés Bové

Trustees of Columbia University

.gmap_divergence_count function

Count divergent transitions from stored sampler diagnostics — .gmap_divergence_count

Count divergent transitions from stored sampler diagnostics

.gmap_divergence_count: Count divergent transitions from stored sampler diagnostics

Description

Usage

Arguments