inst/examples/ex_kendalls.R
In stc04003/tranSurv: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent Censoring
library(MASS)
set.seed(1)
dat <- mvrnorm(5000, c(0, 0), matrix(c(1, .5, .5, 1), 2))
## True kendall's tau is 2 * asin(.5) / pi
system.time(print(kendall(dat)))
system.time(print(cor(dat, method = "kendall")))
stc04003/tranSurv documentation built on July 21, 2021, 6:46 p.m.
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library(MASS)
set.seed(1)
dat <- mvrnorm(5000, c(0, 0), matrix(c(1, .5, .5, 1), 2))
## True kendall's tau is 2 * asin(.5) / pi
system.time(print(kendall(dat)))
system.time(print(cor(dat, method = "kendall")))
R Package Documentation
Browse R Packages
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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