Package: BayesESS 0.1.19

BayesESS: Determining Effective Sample Size

Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-based Shiny application related to this package, see <https://implement.shinyapps.io/bayesess/>.

Authors:Jaejoon Song, Satoshi Morita, J. Jack Lee

BayesESS_0.1.19.tar.gz
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BayesESS.pdf |BayesESS.html✨
BayesESS/json (API)

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

Bug tracker:https://github.com/github-js/bayesess/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

2.00 score 4 scripts 234 downloads 1 exports 15 dependencies

Last updated 5 years agofrom:4bbf4df378. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-win-x86_64NOTEMar 06 2025
R-4.5-mac-x86_64NOTEMar 06 2025
R-4.5-mac-aarch64NOTEMar 06 2025
R-4.5-linux-x86_64NOTEMar 06 2025
R-4.4-win-x86_64NOTEMar 06 2025
R-4.4-mac-x86_64NOTEMar 06 2025
R-4.4-mac-aarch64NOTEMar 06 2025
R-4.4-linux-x86_64NOTEMar 06 2025
R-4.3-win-x86_64NOTEMar 06 2025
R-4.3-mac-x86_64NOTEMar 06 2025
R-4.3-mac-aarch64NOTEMar 06 2025

Exports:ess

Dependencies:codadfcrmLaplacesDemonlatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregRcppRcppArmadilloRcppEigenSparseMsurvival