Package: DesignCTPB
Type: Package
Title: Design Clinical Trials with Potential Biomarker Effect
Version: 1.1.3
Authors@R: c(person("Yitao", "Lu", email = "yitaolu@uvic.ca", 
  role = c("aut","cre"),comment = c(ORCID = "0000-0002-0523-7416")), 
  person("Belaid","Moa", 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: 2021-09-21 04:28:59 UTC; michael
Imports: reticulate, mnormt, fields, plotly, dplyr
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
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>
Repository: CRAN
Date/Publication: 2021-09-21 05:10:02 UTC
Built: R 4.0.2; ; 2021-09-21 11:31:54 UTC; unix
