survival (version 2.41-2)

coxph.control: Ancillary arguments for controlling coxph fits

Description

This is used to set various numeric parameters controlling a Cox model fit. Typically it would only be used in a call to coxph.

Usage

coxph.control(eps = 1e-09, toler.chol = .Machine$double.eps^0.75,
iter.max = 20, toler.inf = sqrt(eps), outer.max = 10, timefix=TRUE)

Arguments

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 decomposition 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.
timefix
Resolve any near ties in the time variables. (Floating point representation error can cause actual tied times to appear distinct.)

Value

a list containing the values of each of the above constants

See Also

coxph