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regrap  

Reverse Graphical Approaches
View on CRAN: Click here


Download and install regrap package within the R console
Install from CRAN:
install.packages("regrap")

Install from Github:
library("remotes")
install_github("cran/regrap")

Install by package version:
library("remotes")
install_version("regrap", "1.0.1")



Attach the package and use:
library("regrap")
Maintained by
Jiangtao Gou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-03
Latest Update: 2020-07-03
Description:
The graphical approach is proposed as a general framework for clinical trial designs involving multiple hypotheses, where decisions are made only based on the observed marginal p-values. A reverse graphical approach starts from a set of singleton graphs, and gradually add vertices into graphs until rejection of a set of hypotheses is made. See Gou, J. (2020). Reverse graphical approaches for multiple test procedures. Technical Report.
How to cite:
Jiangtao Gou (2020). regrap: Reverse Graphical Approaches. R package version 1.0.1, https://cran.r-project.org/web/packages/regrap. Accessed 05 Jan. 2025.
Previous versions and publish date:
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View regrap citation profile
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Complete documentation for regrap
Functions, R codes and Examples using the regrap R package
Some associated functions: checkConditionW . conditionCheck . ga2h . ga3h . graphUpdate . graphUpdateOne . randomGraph . rga2h . rga2pwr . rga3h . 
Some associated R codes: Rfun_checkConditionW.R . Rfun_conditionCheck.R . Rfun_graphUpdate.R . Rfun_randomGraph.R . Rfun_rga2h.R . Rfun_rga2pwr.R . Rfun_rga3h.R .  Full regrap package functions and examples
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Maintainer: Yue Hu (view profile)

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