Randomforge provides an extensible and transparent framework for implementing, evaluating, and applying randomization methods for clinical trials.
Details
The package aims to support a broad range of classical, covariate-adaptive, and response-adaptive techniques while enabling reproducibility, auditability, and methodological clarity. Built as part of the open RandomForge initiative ("Innovating the Future of Randomization"), the package encourages community collaboration, modular extensions, and contributions from academia, industry, and clinical researchers.
The architecture is designed for integration into larger ecosystems, including Shiny applications, APIs, and cloud-based workflows.