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) .


sGBJ

CRAN status R-CMD-check

The goal of sGBJ is to provide an extension of the Generalized Berk-Jones test for set-based inference in genomics studies with a censored time-to-event outcome. In particular, it is geared towards

This packages implements an extension of the GBJ statistic for censored time-to-event data. 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.

The main function of the package is sGBJ()

The methods implemented in this package are detailed in the following article:

Villain L, Ferté T, Thiébaut R, Hejblum BP (2021). Gene Set Analysis for time-to-event outcome with the Generalized Berk–Jones statistic. bioRxiv 2021.09.07.459329.
DOI: 10.1101/2021.09.07.459329

Installation

You can install the released version of sGBJ from CRAN with:

install.packages("sGBJ")

Laura Villain, Thomas Ferté, Rodolphe Thiébaut & Boris Hejblum

Reference manual

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install.packages("sGBJ")

0.1.1 by Laura Villain, a year ago


https://github.com/lauravillain/sGBJ


Report a bug at https://github.com/lauravillain/sGBJ/issues


Browse source code at https://github.com/cran/sGBJ


Authors: Laura Villain [aut, cre] , Thomas Ferte [aut] , Rodolphe Thiebault [aut] , Boris P. Hejblum [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports GBJ, stats, survival

Suggests testthat


See at CRAN