Package: frequentistSSDBinary 0.1.0

Chia-Wei Hsu

frequentistSSDBinary: Screened Selection Design with Binary Endpoints

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.

Authors:Chia-Wei Hsu [aut, cre], Zongheng Cai [aut], Haitao Pan [aut]

frequentistSSDBinary_0.1.0.tar.gz
frequentistSSDBinary_0.1.0.zip(r-4.7-any)frequentistSSDBinary_0.1.0.zip(r-4.6-any)
frequentistSSDBinary_0.1.0.tar.gz(r-4.7-any)frequentistSSDBinary_0.1.0.tar.gz(r-4.6-any)
frequentistSSDBinary_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
frequentistSSDBinary/json (API)

# Install 'frequentistSSDBinary' in R:
install.packages('frequentistSSDBinary', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 233 downloads 6 exports 3 dependencies

Last updated from:9528a43b91. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK139
source / vignettesOK156
linux-releaseOK101
windows-develOK55
windows-releaseOK64
wasm-releaseOK96

Exports:get_oc_2arm_binaryget_oc_3arm_binaryoptimal_2arm_binaryoptimal_3arm_binarysample_size_2arm_binarysample_size_3arm_binary

Dependencies:clinfunmvtnormph2mult