multi_logrank_test

0th

Percentile

Calculate multiple Log-Rank-Tests very fast

Calculate multiple Log-Rank-Tests very fast

Usage
multi_logrank_test(groupas, groupbs, groupacensoreds, groupbcensoreds,
  threadnumber = NULL)
Arguments
groupas

list of vectors of groupa's survival times

groupbs

list of vectors of groupb's survival times

groupacensoreds

list of vectors of censored information of groupa's survival times

groupbcensoreds

list of vectors of censored information of groupb's survival times

threadnumber

(optional) set the number of threads used for this function

Value

vector of p-values (same order as input)

Aliases
  • multi_logrank_test
Examples
# NOT RUN {
T1 <- c(6, 6, 6, 6, 7, 9, 10, 10, 11, 13, 16, 17, 19, 20, 22, 23, 25, 32, 32, 34, 35)
E1 <- c(1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0)
T2 <- c(1, 1, 2, 2, 3, 4, 4, 5, 5, 8, 8, 8, 8, 11, 11, 12, 12, 15, 17, 22, 23)
E2 <- c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1)
t1s<-list(T1, T1, T1)
e1s<-list(E1, E1, E1)
t2s<-list(T2, T2, T2)
e2s<-list(E2, E2, E2)
multi_logrank_test(t1s,t2s,e1s,e2s)
#4.168809e-05 4.168809e-05 4.168809e-05
# }
Documentation reproduced from package fastlogranktest, version 0.1.0, License: GPL-3

Community examples

Looks like there are no examples yet.