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graposas
View on CRAN: Click
here
Download and install graposas package within the R console
Install from CRAN:
install.packages("graposas")
Install from Github:
library("remotes")
install_github("cran/graposas")
Install by package version:
library("remotes")
install_version("graposas", "1.0.0")
Attach the package and use:
library("graposas")
Maintained by
Jiangtao Gou
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-17
Latest Update: 2023-08-17
Description:
Graphical approach provides a useful framework for multiplicity adjustment in clinical trials with multiple endpoints. This package includes statistical methods to optimize sample size over initial weight and transition probability in a graphical approach under a common setting, which is to use marginal power for each endpoint in a trial design.
See Zhang, F. and Gou, J. (2023). Sample size optimization for clinical trials using graphical approaches for multiplicity adjustment, Technical Report.
How to cite:
Jiangtao Gou (2023). graposas: Graphical Approach Optimal Sample Size. R package version 1.0.0, https://cran.r-project.org/web/packages/graposas
Previous versions and publish date:
No previous versions
Other packages that cited graposas R package
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Other R packages that graposas depends,
imports, suggests or enhances
Functions, R codes and Examples using
the graposas R package
Some associated functions: szgaGA . szgaGAw . szgaViz .
Some associated R codes: Rfun_szgaGA.R . Rfun_szgaGAw.R . Rfun_szgaViz.R . Full graposas package functions and examples
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