A Bayesian testing procedure for noninferiority trials with binary endpoints. The prior is constructed based on Bernstein polynomials with options for both informative and noninformative prior. The critical value of the test statistic (Bayes factor) is determined by minimizing total weighted error (TWE) criteria
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Author  Sujit K Ghosh, Muhtarjan Osman 
Date of publication  20120911 06:13:20 
Maintainer  Muhtarjan Osman <mjosman@gmail.com> 
License  GPL2 
Version  0.1 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Package overview 
Man pages  

bayesNI: Semiparametric Bayesian testing procedure for noninferiority...  
BayesNIpackage: Semiparametric Bayesian Noninfereiority Testing 
Functions  

BayesNI  Man page 
BayesNIpackage  Man page 
X1X2BFtable  Source code 
bayesNI  Man page Source code 
calcBF  Source code 
mx  Source code 
noninform_prior  Source code 
postNullFun  Source code 
prior_prob  Source code 
Files  

MD5
 
NAMESPACE
 
DESCRIPTION
 
R
 
R/bayesNI.R  
R/calcBF.R  
R/X1X2BFtable.R  
R/postNullFun.R  
R/noninform_prior.R  
R/mx.R  
R/prior_prob.R  
man
 
man/BayesNIpackage.Rd  
man/bayesNI.Rd 
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