survival (version 2.9-6)

survreg: Regression for a Parametric Survival Model

Description

Regression for a parametric survival model. These are all time-transformed location models, with the most useful case being the accelerated failure models that use a log transformation.

Usage

survreg(formula=formula(data), data=parent.frame(), weights, 
subset,na.action,dist="weibull",  init=NULL, scale=0,
 control=survreg.control(),parms=NULL,model=FALSE, x=FALSE,
 y=TRUE, ...)

Arguments

formula

a formula expression as for other regression models. See the documentation for lm and formula for details.

data

optional data frame in which to interpret the variables occurring in the formula.

weights

Optional observation weights

subset

subset of the observations to be used in the fit.

na.action

function to be used to handle any NAs in the data.

dist

assumed distribution for y variable. If the argument is a character string, then it is assumed to name an element from survreg.distributions. These include "weibull", "expo

parms

a list of fixed parameters. For the t-distribution for instance this is the degrees of freedom; most of the distributions have no parameters.

init

optional vector of initial values for the parameters.

scale

optional fixed value for the scale. If set to

control

a list of control values, in the format producted by survreg.control.

model

if TRUE, the model frame is returned.

x

if TRUE, then the X matrix is returned.

y

if TRUE, then the y vector (or survival times) is returned.

...

other arguments which will be passed to survreg.control.

Value

• an object of class survreg is returned.

Compatibility note

This routine underwent significant changes from survival4 to survival5. The survreg.old function gives a backwards-compatible interface. In S-PLUS the new function is called survReg and the old one survreg.

See Also

survreg.object, survreg.distributions, pspline, frailty, ridge, survreg.old

Examples

data(ovarian)
## These are all the same
survreg(Surv(futime, fustat) ~ ecog.ps + rx, ovarian, dist='weibull',scale=1)
survreg(Surv(futime, fustat) ~ ecog.ps + rx, ovarian,
dist="exponential")
survreg.old(Surv(futime, fustat) ~ ecog.ps + rx, ovarian, dist='extreme',fixed=list(scale=1),link="log")

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