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 |
Reference manual: | BayesESS.pdf |
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: BayesESS_0.1.19.tgz, r-oldrel: BayesESS_0.1.19.tgz |
Old sources: | BayesESS archive |
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