R: Presmoothed Kaplan-Meier weights.

PKMW {condSURV} | R Documentation

## Presmoothed Kaplan-Meier weights.

### Description

This function returns a vector with the presmoothed Kaplan-Meier weights.

### Usage

    PKMW(time, status)

### Arguments

`time` | Survival time of the process.
`status` | Censoring indicator of the survival time of the process; 0 if the survival time is censored and 1 otherwise.

### Value

Vector with presmoothed Kaplan-Meier weights.

### Author(s)

Luis Meira-Machado and Marta Sestelo

### References

R. Cao, I. Lopez-de Ullibarri, P. Janssen, and N. Veraverbeke. Presmoothed kaplan-meier and nelsonaalen estimators. Journal of Nonparametric Statistics, 17:31-56, 2005.

G. Dikta. On semiparametric random censorship models. Journal of Statistical Planning and Inference, 66:253-279, 1998.

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

### See Also

`KMW`

### Examples

    obj <- with(colonCS, survCS(time1, event1, Stime, event))
    PKMW(time = obj$Stime, status = obj$event)

[Package condSURV version 2.0.2 Index]