Title: Design Clinical Trials with Potential Biomarker Effect
Authors@R: c(person("Yitao", "Lu", email = "yitaolu@uvic.ca",
role = c("aut")), person("Julie","Zhou", email = "jzhou@uvic.ca",
role = c("aut")), person("Li","Xing", email = "li.xing@math.usask.ca",
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.
URL: https://github.com/ubcxzhang/DesignCTPB, Y Lu (2020)
Config/reticulate: list( packages = list( list(package = "scipy", pip =
TRUE), list(package = "numba", pip = TRUE), list(package =
Imports: reticulate, mnormt, fields, magrittr
Suggests: knitr, rmarkdown, dplyr, plotly,
SystemRequirements: NVIDIA CUDA GPU with compute capability 3.0 or
above and NVIDIA CUDA Toolkit 9.0 or above

Imports: reticulate, mnormt, fields, magrittr,plotly
SystemRequirements: OpenSSL(>= 1.0.1), NVIDIA CUDA GPU with compute
capability 3.0 or above and NVIDIA CUDA Toolkit 9.0 or above

Imports: reticulate, mnormt, fields, plotly, dplyr

Authors@R: c(person("Graeme", "Blair", email = "graeme.blair@ucla.edu", role = c("aut")),
person("Jasper", "Cooper", email = "jjc2247@columbia.edu", role = c("aut", "cre")),
person("Alexander", "Coppock", email = "alex.coppock@yale.edu", role = c("aut")),
person("Clara", "Bicalho", email = "clarabmcorreia@gmail.com", role = c("aut")),
person("Neal", "Fultz", email = "nfultz@gmail.com", role = c("aut")),
person("Lily", "Medina", email = "lilymiru@gmail.com", role = c("aut")))
Description: A simple interface to build designs
using the package 'DeclareDesign'. In one line of code, users can specify
the parameters of individual designs and diagnose their properties.
The designers can also be used to compare performance of a given design
across a range of combinations of parameters, such as effect size, sample
Depends: DeclareDesign (>= 0.10.0), R (>= 3.4.0), randomizr (>=
Suggests: knitr, testthat, systemfit, ggplot2, broom, rmarkdown
Packaged: 2018-08-09 16:29:30 UTC; jaspercooper