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) <doi:10.48550/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
DOI:	10.32614/CRAN.package.bayesassurance
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

Documentation:

Reference manual:	bayesassurance.pdf
Vignettes:	Vignette_1 Vignette_2 Vignette_3

Downloads:

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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