Design Clinical Trials with Potential Biomarker Effect

Applying 'CUDA' 'GPUs' via 'Numba' for optimal clinical design. It allows the user to utilize a 'reticulate' 'Python' environment and run intensive Monte Carlo simulation to get the optimal cutoff for the clinical design with potential biomarker effect, which can guide the realistic clinical trials.


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Reference manual

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install.packages("DesignCTPB")

1.1.3 by Yitao Lu, 4 days ago


https://github.com/ubcxzhang/DesignCTPB, Y Lu (2020)


Report a bug at https://github.com/ubcxzhang/DesignCTPB/issues


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


Authors: Yitao Lu [aut, cre] , Belaid Moa [aut] , Julie Zhou [aut] , Li Xing [aut] , Xuekui Zhang [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports reticulate, mnormt, fields, plotly, dplyr

Suggests knitr, rmarkdown

System requirements: OpenSSL(>= 1.0.1), NVIDIA CUDA GPU with compute capability 3.0 or above and NVIDIA CUDA Toolkit 9.0 or above


See at CRAN