Assign the ancillary arguments for controling cureph fits
cureph.control(n.data,eps = 1e-09, toler.chol = .Machine$double.eps^0.75,
iter.max = 1000, toler.inf = eps^(1/3),
line.search=0.5,init.step = 1/n.data)a list containing the values of each of the above constants
Sample size of the data
Iteration continues until the relative change in the log partial likelihood is less than eps. Must be positive.
Tolerance for detection of singularity during a Cholesky decomposion of the variance matrix, i.e., for detecting a redundant predictor variable.
Maximum number of iterations to attempt for convergence.
Tolerance criteria for the warning message about a possible infinite coefficient value.
The scale of shrinkage in each Armijo line search step.
The initial size of step in Newton's method.
Jue (Marquis) Hou
line.search and init.step only matter when method = "BFGS-Newton".
cureph