Package: BinGSD 1.1

BinGSD: Calculate Boundaries and Conditional Power for Single Arm Group Sequential Test with Binary Endpoint

Consider an at-most-K-stage group sequential design with only an upper bound for the last analysis and non-binding lower bounds.With binary endpoint, two kinds of test can be applied, asymptotic test based on normal distribution and exact test based on binomial distribution. This package supports the computation of boundaries and conditional power for single-arm group sequential test with binary endpoint, via either asymptotic or exact test. The package also provides functions to obtain boundary crossing probabilities given the design.

Authors:Lei Wang [aut, cre, cph], BeiGene, Ltd. [cph]

BinGSD_1.1.tar.gz
BinGSD_1.1.zip(r-4.5)BinGSD_1.1.zip(r-4.4)BinGSD_1.1.zip(r-4.3)
BinGSD_1.1.tgz(r-4.4-any)BinGSD_1.1.tgz(r-4.3-any)
BinGSD_1.1.tar.gz(r-4.5-noble)BinGSD_1.1.tar.gz(r-4.4-noble)
BinGSD_1.1.tgz(r-4.4-emscripten)BinGSD_1.1.tgz(r-4.3-emscripten)
BinGSD.pdf |BinGSD.html
BinGSD/json (API)
NEWS

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

Peer review:

On CRAN:

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

1.70 score 1 scripts 337 downloads 6 exports 1 dependencies

Last updated 2 months agofrom:88abcff178. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:asymcpasymdesignasymprobexactcpexactdesignexactprob

Dependencies:mvtnorm