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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 (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 |
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