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bayesassurance  

Bayesian Assurance Computation
View on CRAN: Click here


Download and install bayesassurance package within the R console
Install from CRAN:
install.packages("bayesassurance")

Install from Github:
library("remotes")
install_github("cran/bayesassurance")

Install by package version:
library("remotes")
install_version("bayesassurance", "0.1.0")



Attach the package and use:
library("bayesassurance")
Maintained by
Jane Pan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-17
Latest Update: 2025-09-01
Description:
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) .
How to cite:
Jane Pan (2022). bayesassurance: Bayesian Assurance Computation. R package version 0.1.0, https://cran.r-project.org/web/packages/bayesassurance. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.1.0 (2022-06-17 12:40)
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Complete documentation for bayesassurance
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