Power and Sample Size Calculations for Clinical Trials R package MedianaDesigner version 0.13 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). Software 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 Alex Dmitrienko <admitrienko@mediana.us> Comprehensive R Archive Network (CRAN) Alex Dmitrienko [aut, cre] GPL-3 2023-08-28 application/tgz https://CRAN.R-project.org/package=MedianaDesigner doi:10.32614/CRAN.package.MedianaDesigner