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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/>.

Version: 0.1.19
Depends: MCMCpack, stats, LaplacesDemon
Imports: Rcpp, dfcrm, MatrixModels, MASS
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
Suggests: knitr, rmarkdown
Published: 2019-11-25
DOI: 10.32614/CRAN.package.BayesESS
Author: Jaejoon Song, Satoshi Morita, J. Jack Lee
Maintainer: Jaejoon Song <jaejoonsong at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: BayesESS results

Documentation:

Reference manual: BayesESS.pdf

Downloads:

Package source: BayesESS_0.1.19.tar.gz
Windows binaries: r-devel: BayesESS_0.1.19.zip, r-release: BayesESS_0.1.19.zip, r-oldrel: BayesESS_0.1.19.zip
macOS binaries: r-release (arm64): BayesESS_0.1.19.tgz, r-oldrel (arm64): BayesESS_0.1.19.tgz, r-release (x86_64): BayesESS_0.1.19.tgz, r-oldrel (x86_64): BayesESS_0.1.19.tgz
Old sources: BayesESS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesESS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.