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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, <doi:10.1002/sim.8909>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.2) |
| Imports: | stats, graphics |
| Published: | 2022-04-08 |
| DOI: | 10.32614/CRAN.package.CLAST |
| Author: | Chris J. Lloyd |
| Maintainer: | Chris J. Lloyd <c.lloyd at mbs.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | CLAST results |
| Reference manual: | CLAST.pdf |
| Package source: | CLAST_1.0.1.tar.gz |
| Windows binaries: | r-devel: CLAST_1.0.1.zip, r-release: CLAST_1.0.1.zip, r-oldrel: CLAST_1.0.1.zip |
| macOS binaries: | r-release (arm64): CLAST_1.0.1.tgz, r-oldrel (arm64): CLAST_1.0.1.tgz, r-release (x86_64): CLAST_1.0.1.tgz, r-oldrel (x86_64): CLAST_1.0.1.tgz |
| Old sources: | CLAST archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.