Bayesian and Adaptive Clinical Trial Simulation and Monitoring

Provides tools for simulating, monitoring, and evaluating Bayesian and adaptive clinical trial designs with binary outcomes. The package includes methods for trial simulation, posterior and predictive probability monitoring, adaptive randomization, Bayesian treatment-effect estimation, dose-finding designs, two-stage phase II trial designs, group sequential monitoring, operating-characteristic evaluation, interim analyses, and decision-support procedures. The methodological foundation includes the two-stage phase II design described by Simon (1989) .


AdaptiveTrialsR

Bayesian and Adaptive Clinical Trial Simulation and Monitoring

AdaptiveTrialsR provides tools for Bayesian and adaptive clinical trial design, simulation, interim monitoring, dose-finding, and operating-characteristic evaluation.

Key figures

Bayesian interim monitoring path

Operating characteristics

Posterior density

Installation

devtools::install_github("zerish12/AdaptiveTrialsR")

Reference manual

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install.packages("AdaptiveTrialsR")

0.1.2 by Muhammad Zahir Khan, 2 months ago


https://github.com/zerish12/AdaptiveTrialsR


Report a bug at https://github.com/zerish12/AdaptiveTrialsR/issues


Browse source code at https://github.com/cran/AdaptiveTrialsR


Authors: Muhammad Zahir Khan [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, utils, dplyr, ggplot2, rlang

Suggests testthat


See at CRAN