MedianaDesigner: Efficient Simulation-Based Power and Sample Size Calculations 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).

Version: 0.5
Depends: R (≥ 3.1.2)
Imports: Rcpp (≥ 0.12.10), RcppNumerical, officer, flextable, devEMF, mvtnorm, shiny, shinydashboard, shinyMatrix
LinkingTo: Rcpp, RcppEigen, RcppNumerical
Suggests: testthat
Published: 2021-10-11
Author: Alex Dmitrienko [aut, cre]
Maintainer: Alex Dmitrienko <admitrienko at mediana.us>
BugReports: https://github.com/medianasoft/MedianaDesigner/issues
License: GPL-3
URL: https://github.com/medianasoft/MedianaDesigner
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: MedianaDesigner results

Downloads:

Reference manual: MedianaDesigner.pdf
Package source: MedianaDesigner_0.5.tar.gz
Windows binaries: r-devel: MedianaDesigner_0.5.zip, r-devel-UCRT: MedianaDesigner_0.5.zip, r-release: MedianaDesigner_0.5.zip, r-oldrel: MedianaDesigner_0.5.zip
macOS binaries: r-release (arm64): MedianaDesigner_0.3.tgz, r-release (x86_64): MedianaDesigner_0.5.tgz, r-oldrel: MedianaDesigner_0.5.tgz
Old sources: MedianaDesigner archive

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