Other packages > Find by keyword >

graposas  

Graphical Approach Optimal Sample Size
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]
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. Accessed 07 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited graposas R package
View graposas citation profile
Other R packages that graposas depends, imports, suggests or enhances
Complete documentation for graposas
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA