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