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
BayesESS_0.1.19.zip(r-4.7-x86_64)BayesESS_0.1.19.zip(r-4.7-arm64)BayesESS_0.1.19.zip(r-4.6-x86_64)BayesESS_0.1.19.zip(r-4.6-arm64)BayesESS_0.1.19.zip(r-4.5-x86_64)
BayesESS_0.1.19.tgz(r-4.6-x86_64)BayesESS_0.1.19.tgz(r-4.6-arm64)BayesESS_0.1.19.tgz(r-4.5-x86_64)BayesESS_0.1.19.tgz(r-4.5-arm64)
BayesESS_0.1.19.tar.gz(r-4.7-arm64)BayesESS_0.1.19.tar.gz(r-4.7-x86_64)BayesESS_0.1.19.tar.gz(r-4.6-arm64)BayesESS_0.1.19.tar.gz(r-4.6-x86_64)
BayesESS_0.1.19.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 382 downloads 1 exports 15 dependencies

Last updated from:4bbf4df378. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE134
linux-devel-x86_64NOTE154
source / vignettesOK150
linux-release-arm64NOTE143
linux-release-x86_64NOTE148
macos-release-arm64NOTE107
macos-release-x86_64NOTE374
macos-oldrel-arm64NOTE136
macos-oldrel-x86_64NOTE398
windows-devel-arm64NOTE383
windows-devel-x86_64NOTE165
windows-release-arm64NOTE356
windows-release-x86_64NOTE122
windows-oldrel-x86_64NOTE131
wasm-releaseOK128

Exports:ess

Dependencies:codadfcrmLaplacesDemonlatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregRcppRcppArmadilloRcppEigenSparseMsurvival