| survreg {survival} | R Documentation |
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.
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, robust=FALSE, ...)
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", "exponential", "gaussian", "logistic", "lognormal" and "loglogistic".
Otherwise, it is assumed to be a user defined list conforming to the
format described in survreg.distributions.
|
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 <=0 then the scale is estimated. |
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. |
robust |
if TRUE, sandwich standard errors are computed. Defaults to TRUE when
formula contains a cluster term.
|
... |
other arguments which will be passed to survreg.control.
|
an object of class survreg is returned.
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.
survreg.object, survreg.distributions,
pspline, frailty, ridge,
survreg.old
## 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")