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
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:

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