Package: BayesPPD
Title: Bayesian Power Prior Design
Version: 1.0.1
Authors@R: c(
    person(given = "Yueqi",
           family = "Shen",
           role = c("cre"),
           email = "ys137@live.unc.edu"),
    person(given = "Matthew A.",
           family = "Psioda",
           role = c("aut"),
           email = "matt_psioda@unc.edu"),
    person(given = "Joseph G.",
           family = "Ibrahim",
           role = c("aut"),
           email = "ibrahim@bios.unc.edu"))
Description: Bayesian power/type I error calculation and model fitting using 
  the power prior and the normalized power prior for generalized linear models. 
  The Bayesian clinical trial design methodology is described in Chen et al. (2011) 
  <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) 
  <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) 
  <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>. 
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.1.1
LazyData: true
Imports: Rcpp, RcppNumerical
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
NeedsCompilation: yes
Packaged: 2021-07-02 04:44:25 UTC; angie
Author: Yueqi Shen [cre],
  Matthew A. Psioda [aut],
  Joseph G. Ibrahim [aut]
Maintainer: Yueqi Shen <ys137@live.unc.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-07-13 12:00:23 UTC
