km: Kaplan-Meier Estimation
In npsurv: Nonparametric Survival Analysis

Description Usage Arguments Details Value Author(s) References See Also Examples

km computes the nonparametric maximum likelihood esimate (NPMLE) of a survival function for right-censored data.

1	km(data, w = 1)

`data`	vector or matrix, or an object of class `icendata`.
`w`	weights/multiplicities of observations.

For details about the arguments, see icendata.

A list with components:

`f`	NPMLE, an object of class `idf`.
`ll`	log-likelihood value of the NPMLE `f`.

Yong Wang <yongwang@auckland.ac.nz>

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

icendata, npsurv, idf.

x = cbind(1:5, c(1,Inf,3,4,Inf))
(f = km(x)$f)
plot(f)

data(leukemia)
i = leukemia[,"group"] == "Placebo"
plot(km(leukemia[i,1:2])$f, xlim=c(0,40), col="green3") # placebo
plot(km(leukemia[!i,1:2])$f, add=TRUE)                  # 6-MP