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Table 1 Additional non-commercial software of potential interest to platform trial simulation. Description of most R packages was taken from https://cran.r-project.org/web/packages/. All URLs were checked last on 29.07.2020

From: Systematic review of available software for multi-arm multi-stage and platform clinical trial design

Name Description Platform
adaptTest The functions defined in this program serve for implementing adaptive two-stage tests. Currently, four tests are included: Bauer and Koehne (1994), Lehmacher and Wassmer (1999), Vandemeulebroecke (2006), and the horizontal conditional error function. R
AGSDest Calculation of repeated confidence intervals as well as confidence intervals based on the stage-wise ordering in group sequential designs and adaptive group sequential designs. R
basket Package for the analysis of basket trials which implements binary, symmetric multi-source exchangeability models for Bayesian analyses of subgroups. Analyses can be conducted “basketwise” or “clusterwise”, where subgroups are combined into meta-baskets. R
BayesianPickWinner Calculation of power for the Bayesian pick-the-winner design. Accessible via https://github.com/dungtsa/BayesianPickWinner. R
Bayesian Basket Discovery Trials Design, Monitoring and Analysis. Accessible via https://brbnci.shinyapps.io/BasketTrials/ R Shiny
BTcode Basket trials with hierarchical Bayesian modeling. Accessible via: https://github.com/kristenmay206/BTcode R
EVD Simulation of various sequential two- and multi-arm clinical trial designs with Day-14 survival rate as primary endpoint. Accessible via https://github.com/mbrueckner/evd R
gMCP Functions and a graphical user interface for graphical described multiple test procedures. R
interAdapt A shiny application for designing adaptive clinical trials. For more details, see: http://arxiv.org/abs/1404.0734 R Shiny
MD Anderson Software Download Kiosk Several individual software for specific tasks, such as software to simulate clinical trials with response-adaptive randomization (no control, multiple experimental arms) and a tool to calculate confidence limits on the difference between two binomial proportions. Accessible via https://biostatistics.mdanderson.org/SoftwareDownload/. Individual
multcomp Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. R
optGS Near-optimal and balanced group-sequential designs for clinical trials with continuous outcomes R
Optimal two-stage basket trials Calculation of optimal design parameters for two-stage basket trials. Accessible via https://www.mskcc.org/departments/epidemiology-biostatistics/biostatistics/basket-trials. R
RCTDesign Evaluating, analyzing, and reporting group sequential and adaptive clinical trial designs. R
Research code of Dr. James, Wason Code in several programming languages implementing research of Dr. James Wason from the MRC Biostatistics Unit and co-authors. Accessible via https://sites.google.com/site/jmswason/supplementary-material Several
Research code of Dr. Ying Yuan R code and Windows programs implementing research of Dr. Ying Yuan from the MD Anderson Cancer Center. Accessible via https://odin.mdacc.tmc.edu/~yyuan/index_code.html R and Individual