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)
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.
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. For se=TRUE, hzdrate.sshzd returns a list consisting of the following components.

fit Vector of hazard evaluations.
se.fit Vector of standard errors for log hazard.
fit Vector or columns of hazard curve(s).
se.fit Vector or columns of standard errors for log hazard curve(s).


survexp.sshzd returns a vector of expected survivals, which are based on the cumulative hazards over the specified intervals.

See Also

sshzd.


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