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: 0.3
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: 2021-09-20
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_0.3.tar.gz
Windows binaries: r-devel: MedianaDesigner_0.2.3.zip, r-devel-UCRT: MedianaDesigner_0.2.3.zip, r-release: MedianaDesigner_0.2.3.zip, r-oldrel: MedianaDesigner_0.2.3.zip
macOS binaries: r-release (arm64): MedianaDesigner_0.2.3.tgz, r-release (x86_64): MedianaDesigner_0.2.3.tgz, r-oldrel: MedianaDesigner_0.2.3.tgz
Old sources: MedianaDesigner archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MedianaDesigner to link to this page.