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Compare the CCIF of different failure typess by applying the technique of permutation test. See bigtcr-package.
bigtcr-package
get.pval(obs.y, event, tau = Inf, comp.event = c(1, 2), np = 1000, Kt = function(x) { 1 })
\(Y\): time to failure events or censoring
0: censored; \(1, \ldots J\): type of failure events
Conditioning time \(\tau\) under which the CCIF is defined
Failure events for CCIF comparison
Number of permutations
A weight function that takes one parameter \(t\) and return the weight for \(t\). Default weight function is constant \(1\)
P-value of the hypothesis test \(H_0: G_j = G_k = \ldots = G_l\).
# NOT RUN { pval <- get.pval(pancancer$obs.y, pancancer$min.type, tau=120, comp.event=c(1,2), np=20); # }
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