Bayesian Power Prior Design

Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at . The Bayesian clinical trial design methodology is described in Chen et al. (2011) , and Psioda and Ibrahim (2019) . The normalized power prior is described in Duan et al. (2006) and Ibrahim et al. (2015) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("BayesPPD")

1.0.4 by Yueqi Shen, a month ago


Browse source code at https://github.com/cran/BayesPPD


Authors: Yueqi Shen [aut, cre] , Matthew A. Psioda [aut] , Joseph G. Ibrahim [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, RcppNumerical

Linking to Rcpp, RcppArmadillo, RcppEigen, RcppNumerical


See at CRAN