Other packages > Find by keyword >

CLAST  

Exact Confidence Limits after a Sequential Trial
View on CRAN: Click here


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

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

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



Attach the package and use:
library("CLAST")
Maintained by
Chris J. Lloyd
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-05
Latest Update: 2022-04-08
Description:
The user first provides design vectors n, a and b as well as null (p0) and alternative (p1) benchmark values for the probability of success. The key function "mv.plots.SM()" calculates mean values of exact upper and lower limits based on four different rank ordering methods. These plots form the basis of selecting a rank ordering. The function "inference()" calculates exact limits from a provided realisation and ordering choice. For more information, see "Exact confidence limits after a group sequential single arm binary trial" by Lloyd, C.J. (2020), Statistics in Medicine, Volume 38, 2389-2399, .
How to cite:
Chris J. Lloyd (2022). CLAST: Exact Confidence Limits after a Sequential Trial. R package version 1.0.1, https://cran.r-project.org/web/packages/CLAST. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.0.0 (2022-04-05 12:02), (2026-07-09 07:59)
Other packages that cited CLAST R package
View CLAST citation profile
Other R packages that CLAST depends, imports, suggests or enhances
Complete documentation for CLAST
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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