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Implements an extension of the Generalized Berk-Jones (GBJ) statistic for survival data, sGBJ. It computes the sGBJ statistic and its p-value for testing the association between a gene set and a time-to-event outcome with possible adjustment on additional covariates. Detailed method is available at Villain L, Ferte T, Thiebaut R and Hejblum BP (2021) <doi:10.1101/2021.09.07.459329>.
Version: | 0.1.0 |
Depends: | R (≥ 3.5.0) |
Imports: | GBJ, stats, survival |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2021-09-15 |
DOI: | 10.32614/CRAN.package.sGBJ |
Author: | Laura Villain [aut, cre], Thomas Ferte [aut], Rodolphe Thiebault [aut], Boris P. Hejblum [aut] |
Maintainer: | Laura Villain <villain.laura at gmail.com> |
BugReports: | https://github.com/lauravillain/sGBJ/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/lauravillain/sGBJ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | sGBJ results |
Reference manual: | sGBJ.pdf |
Package source: | sGBJ_0.1.0.tar.gz |
Windows binaries: | r-devel: sGBJ_0.1.0.zip, r-release: sGBJ_0.1.0.zip, r-oldrel: sGBJ_0.1.0.zip |
macOS binaries: | r-release (arm64): sGBJ_0.1.0.tgz, r-oldrel (arm64): sGBJ_0.1.0.tgz, r-release (x86_64): sGBJ_0.1.0.tgz, r-oldrel (x86_64): sGBJ_0.1.0.tgz |
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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.