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DesignCTPB: 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.
Getting started
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Package details |
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| Author | Yitao Lu [aut, cre] (<https://orcid.org/0000-0002-0523-7416>), Belaid Moa [aut], Julie Zhou [aut], Li Xing [aut] (<https://orcid.org/0000-0002-4186-7909>), Xuekui Zhang [aut] (<https://orcid.org/0000-0003-4728-2343>) |
| Maintainer | Yitao Lu <yitaolu@uvic.ca> |
| License | GPL (>= 2) |
| Version | 1.1.3 |
| URL | https://github.com/ubcxzhang/DesignCTPB Y Lu (2020) <doi:10.1002/sim.8868> |
| Package repository | View on CRAN |
| Installation |
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