R: Evaluating Smoothing Spline Hazard Estimates

hzdrate.sshzd {gss} | R Documentation

## Evaluating Smoothing Spline Hazard Estimates

### Description

Evaluate smoothing spline hazard estimates by `sshzd`.

### Usage

    hzdrate.sshzd(object, x, se=FALSE, include=c(object$terms$labels,object$lab.p))
    hzdcurve.sshzd(object, time, covariates=NULL, se=FALSE)
    survexp.sshzd(object, time, covariates=NULL, start=0)

### Arguments

`object` | Object of class `"sshzd"`.
`x` | Data frame or vector of points on which hazard is to be evaluated.
`se` | Flag indicating if standard errors are required.
`include` | List of model terms to be included in the evaluation.
`time` | Vector of time points.
`covariates` | Vector of covariate values.
`start` | Optional starting times of the intervals.

### Value

For `se=FALSE`, `hzdrate.sshzd` returns a vector of hazard evaluations, and `hzdcurve.sshzd` returns a vector or columns of hazard curve(s) evaluated on `time` points at the `covariates` values. For `se=TRUE`, `hzdrate.sshzd` and `hzdcurve.sshzd` return a list consisting of the following components.

`fit` | Vector or columns of hazard.
`se.fit` | Vector or columns of standard errors for log hazard.

`survexp.sshzd` returns a vector or columns of expected survivals based on the cumulative hazards over (`start`, `time`) at the `covariates` values, which in fact are the (conditional) survival probabilities S(time)/S(start).

### Note

For left-truncated data, `start` must be at or after the earliest truncation point.

### See Also

Fitting function `sshzd`.

[Package gss version 2.1-7 Index]