sGBJ: Survival Extension of the Generalized Berk-Jones Test

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
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

Documentation:

Reference manual: sGBJ.pdf

Downloads:

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-release (x86_64): sGBJ_0.1.0.tgz, r-oldrel: sGBJ_0.1.0.tgz

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