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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 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-04-05 12:02)
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Complete documentation for CLAST
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