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A Bayesian approach to using predictive probability in an ANOVA construct with a continuous normal response, when threshold values must be obtained for the question of interest to be evaluated as successful (Sieck and Christensen (2021) <doi:10.1002/qre.2802>). The Bayesian Mission Mean (BMM) is used to evaluate a question of interest (that is, a mean that randomly selects combination of factor levels based on their probability of occurring instead of averaging over the factor levels, as in the grand mean). Under this construct, in contrast to a Gibbs sampler (or Metropolis-within-Gibbs sampler), a two-stage sampling method is required. The nested sampler determines the conditional posterior distribution of the model parameters, given Y, and the outside sampler determines the marginal posterior distribution of Y (also commonly called the predictive distribution for Y). This approach provides a sample from the joint posterior distribution of Y and the model parameters, while also accounting for the threshold value that must be obtained in order for the question of interest to be evaluated as successful.
Version: | 0.4.2 |
Depends: | R (≥ 2.10) |
Imports: | stats |
Suggests: | rjags, coda, knitr, devtools, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2022-10-15 |
DOI: | 10.32614/CRAN.package.ContRespPP |
Author: | Victoria Sieck [aut, cre], Joshua Clifford [aut], Fletcher Christensen [aut] |
Maintainer: | Victoria Sieck <vcarrillo314 at gmail.com> |
BugReports: | https://github.com/jcliff89/ContRespPP/issues |
License: | CC0 |
URL: | https://github.com/jcliff89/ContRespPP |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | ContRespPP results |
Reference manual: | ContRespPP.pdf |
Vignettes: |
gibbs-sampler |
Package source: | ContRespPP_0.4.2.tar.gz |
Windows binaries: | r-devel: ContRespPP_0.4.2.zip, r-release: ContRespPP_0.4.2.zip, r-oldrel: ContRespPP_0.4.2.zip |
macOS binaries: | r-release (arm64): ContRespPP_0.4.2.tgz, r-oldrel (arm64): ContRespPP_0.4.2.tgz, r-release (x86_64): ContRespPP_0.4.2.tgz, r-oldrel (x86_64): ContRespPP_0.4.2.tgz |
Old sources: | ContRespPP archive |
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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.