Package: sGBJ 0.1.1

Laura Villain

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>.

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

sGBJ_0.1.1.tar.gz
sGBJ_0.1.1.zip(r-4.7)sGBJ_0.1.1.zip(r-4.6)sGBJ_0.1.1.zip(r-4.5)
sGBJ_0.1.1.tgz(r-4.6-any)sGBJ_0.1.1.tgz(r-4.5-any)
sGBJ_0.1.1.tar.gz(r-4.7-any)sGBJ_0.1.1.tar.gz(r-4.6-any)
sGBJ_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
sGBJ/json (API)

# Install 'sGBJ' in R:
install.packages('sGBJ', repos = c('https://lauravillain.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lauravillain/sgbj/issues

Datasets:

On CRAN:

Conda:

3.00 score 1 stars 1 scripts 259 downloads 3 exports 11 dependencies

Last updated from:c7ee17207e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK127
source / vignettesOK172
linux-release-x86_64OK146
macos-release-arm64OK145
macos-oldrel-arm64OK159
windows-develOK88
windows-releaseOK86
windows-oldrelOK93
wasm-releaseOK126

Exports:sGBJsGBJ_scoressurv_calc_scores_stats

Dependencies:BHGBJlatticeMatrixmvtnormRcppRcppEigenRSpectraSKATSPAtestsurvival