Description Usage Arguments Value Examples

Compute the sGBJ statistic along with its p-value quantifying the association between a gene set and survival outcome

1 | ```
sGBJ_scores(surv, factor_matrix, covariates = NULL, nperm = 300)
``` |

`surv` |
a |

`factor_matrix` |
a |

`covariates` |
a |

`nperm` |
number of permutations performed to estimate the |

a list containing the sGBJ statistic estimation and its associated p-value

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
n <- 100
surv_data <- data.frame(Time = runif(n = n, min = 0, max = 100),
event = rbinom(n = n, size = 1, prob = 0.5))
surv <- survival::Surv(time = surv_data$Time, event = surv_data$event)
factor_matrix <- data.frame(P1 = rnorm(n = n),
P2 = rnorm(n = n))
sGBJ::sGBJ_scores(surv,factor_matrix, nperm = 2)
# with covariates
covariates <- data.frame(age = runif(n = n, 60, 90))
sGBJ_scores(surv,factor_matrix, nperm = 2, covariates = covariates)
``` |

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