BayesNI: BayesNI: Bayesian Testing Procedure for Noninferiority with Binary Endpoints
Version 0.1

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

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AuthorSujit K Ghosh, Muhtarjan Osman
Date of publication2012-09-11 06:13:20
MaintainerMuhtarjan Osman <mjosman@gmail.com>
LicenseGPL-2
Version0.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("BayesNI")

Man pages

bayesNI: Semiparametric Bayesian testing procedure for non-inferiority...
BayesNI-package: Semiparametric Bayesian Noninfereiority Testing

Functions

BayesNI Man page
BayesNI-package 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/BayesNI-package.Rd
man/bayesNI.Rd
BayesNI documentation built on May 19, 2017, 1:46 p.m.