R: Initialization function for exponential fitting

rpart.exp {rpart} | R Documentation

## Initialization function for exponential fitting

### Description

This function does the initialization step for rpart, when the response is a survival object. It rescales the data so as to have an exponential baseline hazard and then uses Poisson methods. This function would rarely if ever be called directly by a user.

### Usage

    rpart.exp(y, offset, parms, wt)

### Arguments

`y` | the response, which will be of class `Surv`
`offset` | optional offset
`parms` | parameters controlling the fit. This is a list with components `shrink` and `method`. The first is the prior for the coefficient of variation of the predictions. The second is either `"deviance"` or `"sqrt"` and is the measure used for cross-validation. If values are missing the defaults are used, which are `"deviance"` for the method, and a shrinkage of 1.0 for the deviance method and 0 for the square root.
`wt` | case weights, if present

### Value

a list with the necessary initialization components

### Author(s)

Terry Therneau

### See Also

`rpart`

[Package rpart version 4.1-8 Index]