survreg.old {survival5} | R Documentation |
This routine is a backwards-compatible interface to the improved survreg function, which is better.
survreg.old(formula, data=sys.parent(), subset, na.action, link=c("log", "identity"), dist=c("extreme", "logistic", "gaussian", "exponential"), fixed, eps=0.0001, init, iter.max=10, model=F, x=F, y=F, ...)
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 occuring in the formula. |
subset |
subset of the observations to be used in the fit. |
na.action |
function to be used to handle any NAs in the data. |
link |
transformation to be used on the y variable. |
dist |
assumed distribution for the transformed y variable. |
fixed |
a list of fixed parameters, most often just the scale. (When I implement the t-dist, it will include the degrees of freedom). |
eps |
convergence criteria for the computation. Iteration continues until the relative change in log likelihood is less than eps. |
init |
optional vector of initial values for the paramters. |
iter.max |
maximum number of iterations to be performed. |
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. |
... |
all the optional arguments to lm, including singular.ok .
|
an object of class survreg
is returned, which inherits from class glm
.
data(ovarian) survreg.old(Surv(futime, fustat) ~ ecog.ps + rx, ovarian, dist='extreme', link='log', fixed=list(scale=1)) #Fit an exponential