pois_logistic

<p>A set of mcmc samples from 8 subposteriors from the analysis of a joint model
with a logistic and poisson outcome variable.</p>

datasets

Functions to compute Wasserstein barycenters
of subset posteriors using the swapping algorithm developed by Puccetti,
Rüschendorf and Vanduffel (2020) <doi:10.1016/j.jmaa.2017.02.003>. The
Wasserstein barycenter is a geometric approach for combining subset
posteriors. It allows for parallel and distributed computation of the
posterior in case of complex models and/or big datasets, thereby increasing
computational speed tremendously.

Jolien Cremers

waspr

Wasserstein Barycenters of Subset Posteriors

pois_logistic function

<p>An array with 3 dimensions of which the first represents the
 subposteriors (size = 8), the second represents the paramters (size = 8) and
 the third represents the amount of mcmc samples (size = 450).</p>

pois_logistic: pois_logistic

Description

Usage

Arguments

Format