Computes Bayesian assurance under various settings characterized by different assumptions and objectives, including precision-based conditions, credible intervals, and goal functions. All simulation-based functions included in this package rely on a two-stage Bayesian method that assigns two distinct priors to evaluate the probability of observing a positive outcome, which addresses subtle limitations that take place when using the standard single-prior approach. For more information, please refer to Pan and Banerjee (2021) <arXiv:2112.03509>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ggplot2 (≥ 3.3.5), plotly (≥ 4.10.0), plot3D (≥ 1.4), pbapply (≥ 1.5.0), dplyr (≥ 1.0.8), MASS (≥ 7.3.55), rlang (≥ 1.0.2), stats (≥ 4.0.5), mathjaxr (≥ 1.5.2) |
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0) |
| Published: | 2022-06-17 |
| Author: | Jane Pan [cre, aut], Sudipto Banerjee [aut] |
| Maintainer: | Jane Pan <jpan1 at ucla.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jpan928/bayesassurance_rpackage |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | bayesassurance results |
| Reference manual: | bayesassurance.pdf |
| Vignettes: |
Vignette_1 Vignette_2 Vignette_3 |
| Package source: | bayesassurance_0.1.0.tar.gz |
| Windows binaries: | r-devel: bayesassurance_0.1.0.zip, r-release: bayesassurance_0.1.0.zip, r-oldrel: bayesassurance_0.1.0.zip |
| macOS binaries: | r-release (arm64): bayesassurance_0.1.0.tgz, r-oldrel (arm64): bayesassurance_0.1.0.tgz, r-release (x86_64): bayesassurance_0.1.0.tgz, r-oldrel (x86_64): bayesassurance_0.1.0.tgz |
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