km: Kaplan-Meier estimate of a survival function

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

Kaplan-Meier estimate of a survival function

Description

Kaplan-Meier estimate of a survival function.

Usage

km(ti, di)

Arguments

ti	A numerical vector with the survival times.
di	A numerical vector indicating the censorings. 0 = censored, 1 = not censored.

Details

The Kaplan-Meier estimate of the survival function takes place.

Value

A matrix with 4 columns. The non censored times, the number of subjects at risk, the number of events at each time and the estimated survival

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris [e-mail].

References

Kaplan E. L. and Meier P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282): 457-481.

See Also

sp.logiregs

Examples

y <- rgamma(40, 10, 1)
di <- rbinom(40, 1, 0.6)
a <- km(y, di)

Rfast2 documentation built on Aug. 8, 2023, 1:11 a.m.