This function provides the fitting options for the reReg()
function.
reReg.control( eqType = c("logrank", "gehan", "gehan_s"), solver = c("BB::dfsane", "BB::BBsolve", "BB::BBoptim", "optimx::optimr", "dfoptim::hjk", "dfoptim::mads", "optim", "nleqslv::nleqslv"), tol = 1e-07, cppl = "EL", cppl.wfun = list(NULL, NULL), init = list(alpha = 0, beta = 0, eta = 0, theta = 0), boot.parallel = FALSE, boot.parCl = NULL, maxit1 = 100, maxit2 = 10, trace = FALSE )
eqType | a character string indicating whether the log-rank type estimating equation or the Gehan-type estimating equation (when available) will be used. |
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solver | a character string specifying the equation solver to be used for root search. |
tol | a numerical value specifying the absolute error tolerance in root search. |
cppl | a character string indicating either to improve the proportional rate model via
the generalized method of moments ( |
cppl.wfun | A list of (up to two) weight functions to be combined with the weighted pseudo-partial likelihood scores.
Avaialble options are |
init | a list contains the initial guesses used for root search. |
boot.parallel | an logical value indicating whether parallel computation will be
applied when |
boot.parCl | an integer value specifying the number of CPU cores to be used when
|
maxit1, maxit2 | max number of iteration used when |
trace | A logical variable denoting whether some of the
intermediate results of iterations should be displayed to the user. Default is |