Package: MedianaDesigner
Type: Package
Title: Efficient Simulation-Based Power and Sample Size Calculations
        for a Broad Class of Late-Stage Clinical Trials
Version: 0.7
Date: 2021-12-20
Author: Alex Dmitrienko [aut, cre]
Authors@R: c(
   person("Alex", "Dmitrienko", email = "admitrienko@mediana.us", role = c("aut", "cre")))
Depends: R (>= 3.1.2)
Imports: Rcpp (>= 0.12.10), RcppNumerical, officer, flextable, devEMF,
        mvtnorm, shiny, shinydashboard, shinyMatrix, foreach, parallel,
        doParallel, doRNG
Suggests: testthat
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Maintainer: Alex Dmitrienko <admitrienko@mediana.us>
Description: 
    The following modules are included in the package: 
    Adaptive designs with data-driven sample size or event count re-estimation, 
    Adaptive designs with data-driven treatment selection, 
    Adaptive designs with data-driven population selection, 
    Optimal selection of a futility stopping rule, 
    Event prediction in event-driven trials,
    Adaptive trials with response-adaptive randomization (experimental module), 
    Traditional trials with multiple objectives (experimental module).
License: GPL-3
LazyLoad: yes
LazyData: true
NeedsCompilation: yes
Packaged: 2021-12-19 03:20:43 UTC; victordmitrienko
Repository: CRAN
Date/Publication: 2021-12-19 14:32:09 UTC
URL: https://github.com/medianasoft/MedianaDesigner
BugReports: https://github.com/medianasoft/MedianaDesigner/issues
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 10:39:27 UTC; windows
Archs: i386, x64
