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DESCRIPTION
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DESCRIPTION
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Package: DesignCTPB
Type: Package
Title: Design Clinical Trials with Potential Biomarker Effect
Version: 1.1.1
Authors@R: c(person("Yitao", "Lu", email = "yitaolu@uvic.ca",
role = c("aut","cre"),comment = c(ORCID = "0000-0002-0523-7416")),
person("Belaid", email = "bmoa@uvic.ca",
role = c("aut")), person("Julie","Zhou", email = "jzhou@uvic.ca",
role = c("aut")), person("Li","Xing", email = "li.xing@math.usask.ca",
role = c("aut"),comment = c(ORCID = "0000-0002-4186-7909")),
person("Xuekui","Zhang", email = "xuekui@uvic.ca",
role = c("aut"),comment = c(ORCID = "0000-0003-4728-2343")))
Description: 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.
License: GPL (>= 2)
URL: https://github.com/ubcxzhang/DesignCTPB, Y Lu (2020) <doi:10.1002/sim.8868>
BugReports: https://github.com/ubcxzhang/DesignCTPB/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Config/reticulate:
list(
packages = list(
list(package = "scipy", pip = TRUE),
list(package = "numba", pip = TRUE),
list(package = "pandas", pip = TRUE)
)
)
Packaged: 2020-10-26 06:43:24 UTC; yitaolu
Imports: reticulate, mnormt, fields, magrittr,plotly
Suggests:
knitr,
rmarkdown
VignetteBuilder: knitr
Depends:
R (>= 3.5.0)
SystemRequirements: OpenSSL(>= 1.0.1), NVIDIA CUDA GPU with compute capability 3.0 or above and NVIDIA CUDA Toolkit 9.0 or above