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.
- Version0.1.0
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release09/15/2021
Documentation
Team
Laura Villain
Thomas Ferte
Show author detailsRolesAuthorBoris P. Hejblum
Show author detailsRolesAuthorRodolphe Thiebault
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 141 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1 times.
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Last 365 days
This package has been downloaded 2,203 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 23, 2024 with 26 downloads.
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Dependencies
- Imports2 packages
- Suggests1 package