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bayesassurance: Bayesian Assurance Computation
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>.
Package details |
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| Author | Jane Pan [cre, aut], Sudipto Banerjee [aut] |
| Maintainer | Jane Pan <jpan1@ucla.edu> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| URL | https://github.com/jpan928/bayesassurance_rpackage |
| Package repository | View on CRAN |
| Installation |
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