MedianaDesigner: Power and Sample Size Calculations for Clinical Trials

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).

Version: 0.13
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
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: testthat, doRNG
Published: 2023-08-28
DOI: 10.32614/CRAN.package.MedianaDesigner
Author: Alex Dmitrienko [aut, cre]
Maintainer: Alex Dmitrienko <admitrienko at>
License: GPL-3
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: MedianaDesigner results


Reference manual: MedianaDesigner.pdf


Package source: MedianaDesigner_0.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MedianaDesigner_0.13.tgz, r-oldrel (arm64): MedianaDesigner_0.13.tgz, r-release (x86_64): MedianaDesigner_0.13.tgz, r-oldrel (x86_64): MedianaDesigner_0.13.tgz
Old sources: MedianaDesigner archive


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