Package: waspr 1.0.1

waspr: Wasserstein Barycenters of Subset Posteriors

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.

Authors:Jolien Cremers [aut, cre]

waspr_1.0.1.tar.gz
waspr_1.0.1.zip(r-4.7)waspr_1.0.1.zip(r-4.6)waspr_1.0.1.zip(r-4.5)
waspr_1.0.1.tgz(r-4.6-x86_64)waspr_1.0.1.tgz(r-4.6-arm64)waspr_1.0.1.tgz(r-4.5-x86_64)waspr_1.0.1.tgz(r-4.5-arm64)
waspr_1.0.1.tar.gz(r-4.7-arm64)waspr_1.0.1.tar.gz(r-4.7-x86_64)waspr_1.0.1.tar.gz(r-4.6-arm64)waspr_1.0.1.tar.gz(r-4.6-x86_64)
waspr_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
waspr/json (API)
NEWS

# Install 'waspr' in R:
install.packages('waspr', repos = c('https://joliencremers.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/joliencremers/waspr/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

openblascpp

4.10 score 25 scripts 209 downloads 4 exports 3 dependencies

Last updated from:9a615cacd9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK150
linux-devel-x86_64OK146
source / vignettesOK232
linux-release-arm64OK156
linux-release-x86_64OK146
macos-release-arm64OK197
macos-release-x86_64OK243
macos-oldrel-arm64OK266
macos-oldrel-x86_64OK319
windows-develOK158
windows-releaseOK123
windows-oldrelOK132
wasm-releaseOK129

Exports:hpd_estmode_estsummarywasp

Dependencies:BHRcppRcppArmadillo

Tutorial

Rendered fromTutorial.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2020-07-15
Started: 2020-07-07