Description Usage Arguments Value See Also Examples
Auxiliary function for iCoxph
that enable users to specify the
control parameters of the model estimation procedure. Internally, the
arguments cm_gradtol
, cm_stepmax
, cm_steptol
, and
cm_max_iter
are passed to function nlm
as
gradtol
, stepmax
, steptol
, and iterlim
,
respectively.
1 2 3 4 5 6 7 8 9 10  iCoxph.control(
tol_beta = 1e06,
tol_pi = 1e08,
cm_gradtol = 1e06,
cm_stepmax = 100,
cm_steptol = 1e06,
cm_max_iter = 100,
ecm_max_iter = 200,
...
)

tol_beta 
A positive value specifying the tolerance that concludes the
convergence of the covariate coefficient estimates. The tolerance is
compared with the relative change between the estimates from two
consecutive iterations that is measured by ratio of the L2norm of their
difference to the sum of their L2norm. The default value is

tol_pi 
A positive value specifying the tolerance that concludes the
convergence of the probability estimates of uncertain records being
true. The tolerance is compared with the relative change between the
estimates from two consecutive iterations measured by ratio of L2norm
of their difference to the L2norm of their sum. The default value is

cm_gradtol 
A positive scalar giving the tolerance at which the scaled
gradient is considered close enough to zero to terminate CM steps. The
default value is 
cm_stepmax 
A positive scalar that gives the maximum allowable scaled
step length in CM steps. The default value is 
cm_steptol 
A positive scalar providing the minimum allowable relative
step length in CM step. The default value is 
cm_max_iter 
A positive integer specifying the maximum number of
iterations to be performed before each CM step is terminated. The
default value is 
ecm_max_iter 
A positive integer specifying the maximum number of
iterations to be performed before the ECM algorithm is terminated. The
default value is 
... 
Other arguments for future usage. A warning will be thrown if any invalid argument is specified. 
A list of class intsurviCoxph.control
containing all
specified control parameters.
iCoxph
for fitting integrative Cox model.
1  ## See examples of function 'iCoxph'.

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