tolerance for convergence. Iteration stops once the relative change in
deviance is less than
rel.tolerance. Default is
0.00001.
failure
controls the return value if the algorithm fails to converge.
If
failure = 1, a warning message is generated and estimates of
the parameters at the last iteration are returned. If
failure = 2, an
error message is returned but no parameter estimates.
Default is
failure = 1.
VALUE:
a list is returned, consisting of the three parameters, conveniently packaged
up to supply as the
control argument to
survreg.
SEE ALSO:
,
EXAMPLES:
survreg(Surv(days, event) ~ voltage, data = capacitor,
control = survreg.control(maxiter = 40))