coxph.control {survival} | R Documentation

## Ancillary arguments for controling coxph fits

### Description

This is used to set various numeric parameters controling 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)

### 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 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.

### Value

a list containing the values of each of the above constants

### Author(s)

Terry Therneau

### See Also

`coxph`

[Package survival version 2.36-14 Index]