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frequentistSSDBinary
View on CRAN: Click
here
Download and install frequentistSSDBinary package within the R console
Install from CRAN:
install.packages("frequentistSSDBinary")
Install from Github:
library("remotes")
install_github("cran/frequentistSSDBinary")
Install by package version:
library("remotes")
install_version("frequentistSSDBinary", "0.1.0")
Attach the package and use:
library("frequentistSSDBinary")
Maintained by
Chia-Wei Hsu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.frequentistSSDBinary . frequentistSSDBinary results . frequentistSSDBinary.pdf . frequentistSSDBinary_0.1.0.tar.gz . frequentistSSDBinary_0.1.0.zip . frequentistSSDBinary_0.1.0.zip . frequentistSSDBinary_0.1.0.zip . frequentistSSDBinary_0.1.0.tgz . frequentistSSDBinary_0.1.0.tgz . frequentistSSDBinary_0.1.0.tgz . frequentistSSDBinary_0.1.0.tgz . frequentistSSDBinary_0.1.0.tgz . frequentistSSDBinary_0.1.0.tgz . https://CRAN.R-project.org/package=frequentistSSDBinary .
First Published: 2024-06-26
Latest Update: 2024-06-26
Description:
A study based on the screened selection design (SSD) is an exploratory phase II randomized trial with two or more arms but without concurrent control. The primary aim of the SSD trial is to pick a desirable treatment arm (e.g., in terms of the response rate) to recommend to the subsequent randomized phase IIb (with the concurrent control) or phase III. The proposed designs can “partially” control or provide the empirical type I error/false positive rate by an optimal algorithm (implemented by the optimal_2arm_binary() or optimal_3arm_binary() function) for each arm. All the design needed components (sample size, operating characteristics) are supported.
How to cite:
Chia-Wei Hsu (2024). frequentistSSDBinary: Screened Selection Design with Binary Endpoints. R package version 0.1.0, https://cran.r-project.org/web/packages/frequentistSSDBinary. Accessed 03 Apr. 2025.
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