R: Summarizing fits of 'survCS' class

summary.survCS {condSURV} | R Documentation

## Summarizing fits of `survCS` class

### Description

Returns a a data.frame or list containing the estimates of the conditional survival, its confidence limits and other information.

### Usage

      ## S3 method for class 'survCS'
    summary(object, times = NULL, ...)

### Arguments

`object` | A fitted `survCS` object as produced by `survCOND()`.
`times` | Vector of times; the returned data frame will contain 1 row for each time. Missing values are not allowed.
`...` | For future methods.

### Value

A data frame or a list containing the following components:

`y` | The total time for obtaining the estimates of the conditional survival probabilities.
`est` | Estimates of the conditional survival probability.
`lower 95% CI` | The lower conditional survival probabilities of the interval.
`upper 95% CI` | The upper conditional survival probabilities of the interval.

### Author(s)

Luis Meira-Machado and Marta Sestelo

### References

L. Meira-Machado, M. Sestelo, and A. Goncalves (2016). Nonparametric estimation of the survival function for ordered multivariate failure time data: a comparative study. Biometrical Journal, 58(3), 623–634.

### Examples

        fit <- survCOND(survCS(time1, event1, Stime, event) ~ 1, x = 365,
        data = colonCS, method = "LDM", conf = TRUE, n.boot = 50, cluster = FALSE)
       summary(fit)
        summary(fit, times = c(400, 1000, 2900))

[Package condSURV version 2.0.1 Index]