Description Usage Arguments Value Author(s)
fit CoxSEI model using an exponential excitation function
1 2 3 |
Y |
the observed times (including censoring times) |
delta |
indicator of event: 1=event, 0=censoring |
id |
the id of the individual/group the event/censoring corresponds to |
Z |
covariate matrix |
par.init |
initial parameter value to start the iteration |
m |
the lag parameter as in M-dependence |
mit |
maximum number of iteration allowed in maximizing the loag partial likelihood |
tr |
should the optimization process be 'tr'aced |
method |
method of optimization; defaults to "L-BFGS-B" |
lower |
vector of lower boundary values of the parameter space |
upper |
vector of upper boundary of the parameter space |
... |
other arguments to be passed to the optimization routine |
an object of class "coxsei", basically a list with components
coefficients |
a named vector of coefficients |
vcov |
a symmetric matrix which is supposed to be positive definite when m>0, or with the (np-2)x(np-2) major submatrix positive definite when m=0 |
Feng Chen <feng.chen@unsw.edu.au>
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