Package: BayesPPD
Title: Bayesian Power Prior Design
Version: 1.0.5
Date: 2022-04-07
Authors@R: c(
    person(given = "Yueqi",
           family = "Shen",
           role = c("aut","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.
  Detailed examples of applying the package are available at <arXiv:2112.14616>. 
  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: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.1.1
LazyData: true
Imports: Rcpp, RcppNumerical
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical
NeedsCompilation: yes
Packaged: 2022-04-13 18:03:50 UTC; angie
Author: Yueqi Shen [aut, 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: 2022-04-17 10:22:32 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 07:49:56 UTC; windows
Archs: i386, x64
