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]

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waspr.pdf |waspr.html
waspr/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

4.10 score 25 scripts 116 downloads 4 exports 3 dependencies

Last updated 1 years agofrom:9a615cacd9. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:hpd_estmode_estsummarywasp

Dependencies:BHRcppRcppArmadillo

Tutorial

Rendered fromTutorial.Rmdusingknitr::rmarkdownon Nov 07 2024.

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