R: Estimation of the conditional distribution function of the...

Beran {condSURV} | R Documentation

## Estimation of the conditional distribution function of the response, given the covariate under random censoring.

### Description

Computes the conditional survival probability P(T > y|Z = z)

### Usage

     Beran(time, status, covariate, delta, x, y, kernel = "gaussian", bw, lower.tail = FALSE)

### Arguments

`time` | The survival time of the process.
`status` | Censoring indicator of the total time of the process; 0 if the total time is censored and 1 otherwise.
`covariate` | Covariate values for obtaining estimates for the conditional probabilities.
`delta` | Censoring indicator of the covariate.
`x` | The first time (or covariate value) for obtaining estimates for the conditional probabilities. If missing, 0 will be used.
`y` | The total time for obtaining estimates for the conditional probabilities.
`kernel` | A character string specifying the desired kernel. See details below for possible options. Defaults to "gaussian" where the gaussian density kernel will be used.
`bw` | A single numeric value to compute a kernel density bandwidth.
`lower.tail` | logical; if FALSE (default), probabilities are P(T > y|Z = z) otherwise, P(T <= y|Z = z).

### Details

Possible options for argument window are "gaussian", "epanechnikov", "tricube", "boxcar", "triangular", "quartic" or "cosine".

### Author(s)

Luis Meira-Machado and Marta Sestelo

### References

R. Beran. Nonparametric regression with randomly censored survival data. Technical report, University of California, Berkeley, 1981.

### Examples

    obj <- with(colonCS, survCS(time1, event1, Stime, event))
    obj0 <- obj$data

    #P(T>y|age=45)
    library(KernSmooth)
    h <- dpik(colonCS$age)
    Beran(time = obj0$Stime, status = obj0$event, covariate = colonCS$age,
    x = 45, y = 730, bw = h)

    #P(T<=y|age=45)
    Beran(time = obj0$Stime, status = obj0$event, covariate = colonCS$age,
    x = 45, y = 730, bw = h, lower.tail = TRUE)

[Package condSURV version 2.0.1 Index]