Package: adpss
Title: Design and Analysis of Locally or Globally Efficient Adaptive
        Designs
Version: 0.1.2
Authors@R: person("Kosuke", "Kashiwabara", email = "kashiwabara-tky@umin.ac.jp", role = c("aut", "cre"))
Description: Provides the functions for planning and conducting a
  clinical trial with adaptive sample size determination. Maximal statistical
  efficiency will be exploited even when dramatic or multiple adaptations
  are made. Such a trial consists of adaptive determination of sample size
  at an interim analysis and implementation of frequentist statistical test at the
  interim and final analysis with a prefixed significance level. The required
  assumptions for the stage-wise test statistics are independent and stationary
  increments and normality. Predetermination of adaptation rule is not required.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
URL: https://github.com/ca4wa/R-adpss
LinkingTo: Rcpp (>= 0.12.17)
Imports: Rcpp (>= 0.12.17)
RoxygenNote: 7.2.2
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-11-15 06:15:38 UTC; Kosuke Kashiwabara
Author: Kosuke Kashiwabara [aut, cre]
Maintainer: Kosuke Kashiwabara <kashiwabara-tky@umin.ac.jp>
Repository: CRAN
Date/Publication: 2022-12-09 11:52:30 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-08-18 01:59:16 UTC; unix
Archs: adpss.so.dSYM
