A Bayesian testing procedure for noninferiority trials with binary endpoints. The prior is constructed based on Bernstein polynomials with options for both informative and non-informative prior. The critical value of the test statistic (Bayes factor) is determined by minimizing total weighted error (TWE) criteria
Version: | 0.1 |
Published: | 2012-09-11 |
Author: | Sujit K Ghosh, Muhtarjan Osman |
Maintainer: | Muhtarjan Osman <mjosman at gmail.com> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | BayesNI results |
Reference manual: | BayesNI.pdf |
Package source: | BayesNI_0.1.tar.gz |
Windows binaries: | r-devel: BayesNI_0.1.zip, r-release: BayesNI_0.1.zip, r-oldrel: BayesNI_0.1.zip |
macOS binaries: | r-release: BayesNI_0.1.tgz, r-oldrel: BayesNI_0.1.tgz |
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