coxph.control

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.

toler.chol

Maximum number of iterations to attempt for convergence.

iter.max

Tolerance criteria for the warning message about a possible
infinite coefficient value.

toler.inf

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.

outer.max

This is used to set various numeric parameters controling a Cox model fit.
Typically it would only be used in a call to <code>coxph</code>.

survival

Contains the core survival analysis routines, including
	     definition of Surv objects, 
	     Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models,
	     and parametric accelerated failure time models.

coxph.control: Ancillary arguments for controling coxph fits

Description

Usage

Arguments

Value

See Also