CRAN/E | DesignCTPB

DesignCTPB

Design Clinical Trials with Potential Biomarker Effect

Installation

About

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.

Citation DesignCTPB citation info
github.com/ubcxzhang/DesignCTPB
System requirements OpenSSL(>= 1.0.1), NVIDIA CUDA GPU with compute capability 3.0 or above and NVIDIA CUDA Toolkit 9.0 or above
Bug report File report

Key Metrics

Version 1.1.3
R ≥ 3.5.0
Published 2021-09-21 952 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks DesignCTPB results

Downloads

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Maintainer

Maintainer

Yitao Lu

yitaolu@uvic.ca

Authors

Yitao Lu

aut / cre

Belaid Moa

aut

Julie Zhou

aut

Li Xing

aut

Xuekui Zhang

aut

Material

README
Reference manual
Package source

Vignettes

DesignCTPB

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

DesignCTPB archive

Depends

R ≥ 3.5.0

Imports

reticulate
mnormt
fields
plotly
dplyr

Suggests

knitr
rmarkdown