| coxph.control {survival} | R Documentation |
This is used to set various numeric parameters controling a Cox model fit.
Typically it would only be used in a call to coxph.
coxph.control(eps = 1e-09, toler.chol = .Machine$double.eps^0.75, iter.max = 20, toler.inf = sqrt(eps), outer.max = 10)
eps |
Iteration continues until the relative change in the log partial likelihood is less than eps. Must be positive. |
toler.chol |
Tolerance for detection of singularity during a Cholesky decomposion of the variance matrix, i.e., for detecting a redundant predictor variable. |
iter.max |
Maximum number of iterations to attempt for convergence. |
toler.inf |
Tolerance criteria for the warning message about a possible infinite coefficient value. |
outer.max |
For a penalized coxph model, e.g. with pspline terms, there is an outer loop of iteration to determine the penalty parameters; maximum number of iterations for this outer loop. |
a list containing the values of each of the above constants
Terry Therneau