inst/examples/ex_wKendall.R
In stc04003/tranSurv: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent Censoring
data(channing, package = "boot")
chan <- subset(channing, sex == "Male" & entry < exit)
## When weights is not specified, this function reduces to condKendall()
with(chan, wKendall(entry, exit, cens))
mean(replicate(1000, with(chan, wKendall(entry, exit, cens, rexp(nrow(chan))))))
stc04003/tranSurv documentation built on July 21, 2021, 6:46 p.m.
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data(channing, package = "boot")
chan <- subset(channing, sex == "Male" & entry < exit)
## When weights is not specified, this function reduces to condKendall()
with(chan, wKendall(entry, exit, cens))
mean(replicate(1000, with(chan, wKendall(entry, exit, cens, rexp(nrow(chan))))))
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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