Package: MedianaDesigner
Type: Package
Title: Power and Sample Size Calculations for Clinical Trials
Version: 0.13
Date: 2023-08-27
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, methods, officer, flextable,
        devEMF, mvtnorm, shiny, shinydashboard, shinyMatrix, foreach,
        parallel, doParallel, MASS, rootSolve, lme4, lmerTest, pbkrtest
Suggests: testthat, doRNG
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Maintainer: Alex Dmitrienko <admitrienko@mediana.us>
Description: 
  Efficient simulation-based power and sample size calculations are supported for a
  broad class of late-stage clinical trials. 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).
  Traditional trials with cluster-randomized designs (experimental module).
License: GPL-3
LazyLoad: yes
LazyData: true
NeedsCompilation: yes
Packaged: 2023-08-28 01:14:59 UTC; victordmitrienko
Repository: CRAN
Date/Publication: 2023-08-28 04:00:05 UTC
URL: https://github.com/medianasoft/MedianaDesigner
BugReports: https://github.com/medianasoft/MedianaDesigner/issues
Built: R 4.6.0; x86_64-w64-mingw32; 2025-10-14 03:59:21 UTC; windows
Archs: x64
